Search Results

A Pedant's Approach to Exponential Smoothing,
Ralph Snyder, from Monash University, Department of Econometrics and Business Statistics (2005)
Keywords: Time Series Analysis, Prediction, Exponential Smoothing, ARIMA Models, Kalman Filter, State Space Models

Further empirical evidence on the forecasting of volatility with smooth transition exponential smoothing,
Min Liu, James W. Taylor and Wei-Chong Choo, in Economic Modelling (2020)
Keywords: Smooth transition exponential smoothing; Daily volatility forecasting; Robustness; Trading volume;

Modeling the number of unemployed in South Sumatra Province using the exponential smoothing methods,
Rendra Gustriansyah, Juhaini Alie and Nazori Suhandi, in Quality & Quantity: International Journal of Methodology (2023)
Keywords: The number of Unemployed, Single exponential smoothing (SES), Brown’s exponential smoothing (BES), Holt’s exponential smoothing (HES), South Sumatra Province

Econometric Models or Smoothing Exponential Techniques to Predict Macroeconomic Indicators in Romania,
Mihaela Bratu, in Ekonomija Economics (2013)
Keywords: forecasts, accuracy, econometric models, smoothing exponential techniques

Forecasting Movie Demand Using Total and Split Exponential Smoothing,
Mak Kit Mun and Choo Wei Chong, in Jurnal Ekonomi Malaysia (2018)
Keywords: exponential smoothing, forecasting, movie demand, time series

Econometric Models or Smoothing Exponential Techniques to Predict Macroeconomic Indicators in Romania,
Mihaela Bratu, in Zagreb International Review of Economics and Business (2012)
Keywords: forecasts, accuracy, econometric models, smoothing exponential techniques

Comparative Evaluation of Forecast Accuracies for ARIMA, Exponential Smoothing and VAR,
Hatice Erkekoglu, Aweng Peter Majok Garang and Adire Simon Deng, in International Journal of Economics and Financial Issues (2020)
Keywords: Forecast Evaluation, ARIMA, Exponential Smoothing, VAR

A simple test for linearity against exponential smooth transition models with endogenous variables,
Daniele Massacci, in Economics Letters (2012)
Keywords: Exponential smooth transition model; Endogeneity; Linearity test;

Forecasting of global horizontal irradiance by exponential smoothing, using decompositions,
Dazhi Yang, Vishal Sharma, Zhen Ye, Lihong Idris Lim, Lu Zhao and Aloysius W. Aryaputera, in Energy (2015)
Keywords: Exponential smoothing; Time series; Forecast; Solar irradiance;

Short-term electricity demand forecasting using double seasonal exponential smoothing,
J W Taylor, in Journal of the Operational Research Society (2003)
Keywords: electricity demand forecasting, Holt–Winters exponential smoothing

Multi-item sales forecasting with total and split exponential smoothing,
J W Taylor, in Journal of the Operational Research Society (2011)
Keywords: forecasting, exponential smoothing, supply chain, robust methods

Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation,
Christoph Bergmeir, Rob Hyndman and José M. Benítez, in International Journal of Forecasting (2016)
Keywords: Bagging; Bootstrapping; Exponential smoothing; STL decomposition;

HOLTWINTERS: MATLAB function to compute forecasts of the Holt-Winters exponential smoothing model,
Rafał Weron, from Hugo Steinhaus Center, Wroclaw University of Science and Technology (2017)
Keywords: Holt-Winters model, Exponential smoothing, Forecasting.

Bagging Exponential Smoothing Methods using STL Decomposition and Box-Cox Transformation,
Christoph Bergmeir, Rob Hyndman and Jose M Benitez C22, C53, C63, from Monash University, Department of Econometrics and Business Statistics (2014)
Keywords: bagging, bootstrapping, exponential smoothing, STL decomposition.

Damped trend exponential smoothing: A modelling viewpoint,
Eddie McKenzie and Everette S. Gardner , in International Journal of Forecasting (2010)
Keywords: Time series Exponential smoothing ARIMA models State space models

A study of outliers in the exponential smoothing approach to forecasting,
Anne B. Koehler, Ralph Snyder, John Ord and Adrian Beaumont, in International Journal of Forecasting (2012)
Keywords: Exponential smoothing; Outliers; State space models; Time series; Intervention analysis;

Random switching exponential smoothing: A new estimation approach,
Giacomo Sbrana and Andrea Silvestrini, in International Journal of Production Economics (2019)
Keywords: Random switching exponential smoothing; Likelihood evaluation; Kalman gain; Forecasting;

Forecast Intervals in ARCH Exponential Smoothing,
Laurence Broze, Guy Melard and Olivier Scaillet, from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) (1994)
Keywords: exponential smoothing, forecast interval, time series, financial data, marketing data, autoregressive conditionally heteroscedastic errors

Reduced Rank Vector Exponential Smoothing,
Ashton de Silva, from Econometric Society (2004)
Keywords: Vector Exponential Smoothing, singular value decomposition, information criterion, state space models.

Exponential smoothing and non-negative data,
Muhammad Akram, Rob Hyndman and John Ord, from The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting (2008)
Keywords: forecasting; time series; exponential smoothing; positive-valued processes; seasonality; state space models.

Exponential smoothing: estimation by maximum likelihood,
Laurence Broze and Guy Melard, from ULB -- Universite Libre de Bruxelles (1990)
Keywords: Box‐Jenkins methodology; Exponential smoothing; Maximum likelihood estimation; Time series ARIMA models

EXCHANGE-RATES FORECASTING: EXPONENTIAL SMOOTHING TECHNIQUES AND ARIMA MODELS,
Fat Codruta Maria and Eva Dezsi, in Annals of Faculty of Economics (2011)
Keywords: Forecasting, Simple Exponential Smoothing, Double Exponential Smoothing, Holt-Winters Additive, Holt-Winters Multiplicative

Strategy for Services Anticipation at the Rehabilitation Center of BNN Based on Moving Average and Exponential Smoothing Forecasting Method,
Rosita Dewi Eka Renel and Palupi Lindiasari Samputra, in Technium Social Sciences Journal (2023)
Keywords: Forecasting, Moving Average, Exponential Smoothing, Rehabilitation Center

Geometric series representation for robust bounds of exponential smoothing difference between protected and confidential data,
Jinwook Lee and Matthew J. Schneider, in Annals of Operations Research (2024)
Keywords: Geometric series, Exponential smoothing, Data protection, Forecasting

A new taxonomy for vector exponential smoothing and its application to seasonal time series,
Ivan Svetunkov, Huijing Chen and John E. Boylan, in European Journal of Operational Research (2023)
Keywords: Forecasting; Multivariate statistics; Seasonal data; Vector exponential smoothing; Retailing;

A note on forecasting demand using the multivariate exponential smoothing framework,
Federico Poloni and Giacomo Sbrana, in International Journal of Production Economics (2015)
Keywords: Multivariate exponential smoothing; EWMA; Forecasting demand; VARMA estimation;

Lead time demand for simple exponential smoothing: an adjustment factor for the standard deviation,
Ralph Snyder, A B Koehler and John Ord, in Journal of the Operational Research Society (1999)
Keywords: Lead time demand, exponential smoothing, prediction intervals, safety stock

On Solving Large-Scale Finite Minimax Problems Using Exponential Smoothing,
E. Y. Pee and J. O. Royset, in Journal of Optimization Theory and Applications (2011)
Keywords: Finite minimax, Exponential smoothing technique, Rate of convergence, Run-time complexity

Comparison of exponential smoothing methods in forecasting global prices of main metals,
Esma Kahraman and Ozlem Akay, in Mineral Economics (2023)
Keywords: Global metal prices, Forecasting, Exponential smoothing method, Holt, Brown, Damped

Research on the Forecasting of Construction Accidents with the Cubic Exponential Smoothing Method,
Chao He, Xiaoli Yan and Yilang Huang, from Springer (2014)
Keywords: The cubic exponential smoothing model, Construction accidents, Accident forecasting

A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods,
Rob Hyndman, A.B. Koehler, Ralph Snyder and S. Grose, from Monash University, Department of Econometrics and Business Statistics (2000)
Keywords: Automatic forecasting, exponential smoothing, prediction intervals, state space models.

Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand,
Ralph Snyder, Anne B. Koehler, Rob Hyndman and John Ord, from Monash University, Department of Econometrics and Business Statistics (2002)
Keywords: Forecasting; inventory control; lead-time demand; exponential smoothing; forecast variance.

Forecasting correlated time series with exponential smoothing models,
Ana Corberán-Vallet, José D. Bermúdez and Enriqueta Vercher, in International Journal of Forecasting (2011)
Keywords: Bayesian forecasting Exponential smoothing Innovations state space models Model selection Monte Carlo methods Multivariate time series

Forecasting correlated time series with exponential smoothing models,
Ana Corberán-Vallet, José D. Bermúdez and Enriqueta Vercher, in International Journal of Forecasting (2011)
Keywords: Bayesian forecasting; Exponential smoothing; Innovations state space models; Model selection; Monte Carlo methods; Multivariate time series;

Random and Markov switching exponential smoothing models,
Mike Tsionas, in Technological Forecasting and Social Change (2022)
Keywords: Random switching exponential smoothing; Forecasting; Bayesian analysis; Markov chain Monte Carlo;

Local and global trend Bayesian exponential smoothing models,
Slawek Smyl, Christoph Bergmeir, Alexander Dokumentov, Xueying Long, Erwin Wibowo and Daniel Schmidt, in International Journal of Forecasting (2025)
Keywords: Exponential Smoothing; Bayesian Modelling; Time Series Forecasting; Monte-Carlo Methods; Probabilistic Forecasting;

The admissible parameter space for exponential smoothing models,
Rob Hyndman, Muhammad Akram and Blyth Archibald, in Annals of the Institute of Statistical Mathematics (2008)
Keywords: Exponential smoothing, Invertibility, Observability, Parameter space, Reachability, Stability, State space models, Structural models,

Exponential Smoothing: A Prediction Error Decomposition Principle,
Ralph Snyder, from Monash University, Department of Econometrics and Business Statistics (2004)
Keywords: time series analysis, prediction, exponential smoothing, ARIMA models, state space models.

Some Nonlinear Exponential Smoothing Models are Unstable,
Rob Hyndman and Muhammad Akram, from Monash University, Department of Econometrics and Business Statistics (2006)
Keywords: Exponential smoothing, forecast variance, nonlinear models, prediction intervals, stability, state space models.

Non-linear exponential smoothing and positive data,
Muhammad Akram, Rob Hyndman and John Ord, from Monash University, Department of Econometrics and Business Statistics (2007)
Keywords: Forecasting; time series; exponential smoothing; positive-valued processes; seasonality; state space models.

A state space model for exponential smoothing with group seasonality,
Pim Ouwehand, Rob Hyndman, Ton G. de Kok and Karel H. van Donselaar, from Monash University, Department of Econometrics and Business Statistics (2007)
Keywords: Common seasonality; demand forecasting; exponential smoothing; Holt-Winters; state space model.

Forecasting Compositional Time Series with Exponential Smoothing Methods,
Anne B. Koehler, Ralph Snyder, John Ord and Adrian Beaumont, from Monash University, Department of Econometrics and Business Statistics (2010)
Keywords: compositional time series, innovations state space models, exponential smoothing, forecasting proportions

Smoothing and forecasting mixed-frequency time series with vector exponential smoothing models,
Byeongchan Seong, in Economic Modelling (2020)
Keywords: Mixed-frequency data; Exponential smoothing methods; Innovational state space models; Temporal aggregation; Interpolation;

A Two-Population Extension of the Exponential Smoothing State Space Model with a Smoothing Penalisation Scheme,
Yanlin Shi, Sixian Tang and Jackie Li, in Risks (2020)
Keywords: mortality forecasting; exponential smoothing; penalty scheme; coherent mortality models

Volatility Forecasting Performance of Smooth Transition Exponential Smoothing Method: Evidence from Mutual Fund Indices in Malaysia,
Wan Cheong Kin, Choo Wei Chong, Annuar Md Nassir, Muzafar Shah Habibullah and Zulkornain Yusop, in Asian Economic and Financial Review (2021)
Keywords: Smooth transition exponential, Smoothing, GARCH, Volatility forecasting, Mutual funds, Model confidence set, Outliers.

Exponential smoothing with covariates applied to electricity demand forecast,
José D. Bermúdez, in European Journal of Industrial Engineering (2013)
Keywords: covariates; dynamic linear modelling; electricity demand; electricity forecasting; energy forecasting; exponential smoothing; forecasting practice; time series; Spain; calendar effects.

Forecasting indian rupee/us dollar: arima, exponential smoothing, naïve, nardl, combination techniques,
Muhammad AsadUllah, Hira Mujahid, Mosab I. Tabash, Sharique Ayubi and Rabia Sabri, from University Library of Munich, Germany (2020)
Keywords: Forecasting, Exchange Rate, Auto-Regressive, Naïve, Exponential Smoothing.

Density Forecasting of Intraday Call Center Arrivals Using Models Based on Exponential Smoothing,
James W. Taylor, in Management Science (2012)
Keywords: call centers, arrival rate, density forecasting, exponential smoothing, seasonality

Forecasting intraday time series with multiple seasonal cycles using parsimonious seasonal exponential smoothing,
James W. Taylor and Ralph Snyder, in Omega (2012)
Keywords: Forecasting; Time series; Exponential smoothing; Electricity load; Call centre arrivals;

Forecasting the Macro Targets of Turkish Economy for the Year 2000: An Application of Box-Jenkins and Exponential Smoothing Methods,
Faik Bilgili, from University Library of Munich, Germany (2000)
Keywords: Turkish economy, forecasting, macro targets, Box-Jenkins, exponential smoothing

Forecasting aggregate demand: Analytical comparison of top-down and bottom-up approaches in a multivariate exponential smoothing framework,
Giacomo Sbrana and Andrea Silvestrini, in International Journal of Production Economics (2013)
Keywords: Top-down forecasting; Bottom-up forecasting; Multivariate exponential smoothing;

Generation and Prediction of Construction and Demolition Waste Using Exponential Smoothing Method: A Case Study of Shandong Province, China,
Liang Qiao, Doudou Liu, Xueliang Yuan, Qingsong Wang and Qiao Ma, in Sustainability (2020)
Keywords: construction and demolition waste; trend test; exponential smoothing method; prediction

Predicting Macroeconomic Indicators in the Czech Republic Using Econometric Models and Exponential Smoothing Techniques,
Mihaela Simionescu, in South East European Journal of Economics and Business (2012)
Keywords: accuracy, econometric models, forecasts, forecasting methods, smoothing exponential techniques

Forecasting aggregate demand: analytical comparison of top-down and bottom-up approaches in a multivariate exponential smoothing framework,
Giacomo Sbrana and Andrea Silvestrini, from Bank of Italy, Economic Research and International Relations Area (2013)
Keywords: top-down and bottom-up forecasting, multivariate exponential smoothing.

Forecasting Intraday Time Series with Multiple Seasonal Cycles Using Parsimonious Seasonal Exponential Smoothing,
James W. Taylor and Ralph Snyder, from Monash University, Department of Econometrics and Business Statistics (2009)
Keywords: Exponential smoothing; Intraday data; Electricity load; Call centre arrivals.

Application of Single Exponential Smoothing in Forecasting Number of New Students Acceptance,
Noveri Lysbetti Marpaung, Kelvin Rainey Salim, Rahyul Amri and Edy Ervianto, in International Journal of Technology and Engineering Studies (2019)
Keywords: Forecasting system, single exponential smoothing method, alpha constant, MAPE value, forecasting ability level

Note: Rule-Based Forecasting vs. Damped-Trend Exponential Smoothing,
Everette S. Gardner, in Management Science (1999)
Keywords: combining forecasts, exponential smoothing, extrapolation, expert systems, judgment, rule-based forecasting

Structural combination of seasonal exponential smoothing forecasts applied to load forecasting,
Juan F. Rendon-Sanchez and Lilian M. de Menezes, in European Journal of Operational Research (2019)
Keywords: Forecasting; Combination of forecasts; Electricity demand/load forecasting; Ensembles; Exponential smoothing methods;

Measuring the impact of an exogenous factor: An exponential smoothing model of the response of shipping to COVID-19,
Hong-Mei Zhao, Hong-Di He, Kai-Fa Lu, Xiao-Long Han, Yi Ding and Zhong-Ren Peng, in Transport Policy (2022)
Keywords: COVID-19 pandemic; Urban lockdown policy; Dry bulk transportation; Container transportation; Exponential smoothing model;

A Bayesian estimation approach of random switching exponential smoothing with application to credit forecast,
Renhe Wang, Tong Wang, Zhiyong Qian and Shulan Hu, in Finance Research Letters (2023)
Keywords: Random switching exponential smoothing; Precision-based algorithms; Bayesian estimation; Forecasting; Credit;

A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting,
Slawek Smyl, in International Journal of Forecasting (2020)
Keywords: Forecasting competitions; M4; Dynamic computational graphs; Automatic differentiation; Long short term memory (LSTM) networks; Exponential smoothing;

Study on Prediction of Energy Conservation and Carbon Reduction in Universities Based on Exponential Smoothing,
Rongbin Wang, Weifeng Zhang, Wenlong Deng, Ruihao Zhang and Xiaohui Zhang, in Sustainability (2022)
Keywords: double carbon target; conservation-oriented colleges; exponential smoothing method; energy consumption indexes

Initial conditions estimation for improving forecast accuracy in exponential smoothing,
E. Vercher, A. Corberán-Vallet, J. Segura and J. Bermúdez, in TOP: An Official Journal of the Spanish Society of Statistics and Operations Research (2012)
Keywords: Exponential smoothing, Demand forecasting, Damped trend models, Prediction intervals, M3-Competition, 62M20, 62P30, 90C30, 90B50,

Forecasting time series with complex seasonal patterns using exponential smoothing,
Alysha M De Livera and Rob Hyndman, from Monash University, Department of Econometrics and Business Statistics (2009)
Keywords: Exponential smoothing, Fourier series, prediction intervals, seasonality, state space models, time series decomposition

Automatic forecasting with a modified exponential smoothing state space framework,
Alysha M De Livera, from Monash University, Department of Econometrics and Business Statistics (2010)
Keywords: Exponential smoothing, state space models, automatic forecasting, Box-Cox transformation, residual adjustment, multiple seasonality, time series

Demand forecasting with four-parameter exponential smoothing,
Liljana Ferbar Tratar, Blaž Mojškerc and Aleš Toman, in International Journal of Production Economics (2016)
Keywords: Demand forecasting; Exponential smoothing methods; Seasonal data; Holt-Winters methods; Damped trend methods; M3-Competition; Individual products; Symmetric relative efficiency measure;

Comparative Study of the Error Trend and Seasonal Exponential Smoothing and ARIMA Model using COVID-19 Death Rate in Nigeria,
Samuel Olorunfemi Adams and Godwin Somto, in International Journal of Natural Sciences Research (2022)
Keywords: ARIMA, COVID-19, Exponential smoothing trend, NCDC, Hannan Quinn information criterion, AMSE selection criteria.

Providing a measure for bullwhip effect in a two-product supply chain with exponential smoothing forecasts,
Ahmad Sadeghi, in International Journal of Production Economics (2015)
Keywords: Supply chain; Exponential smoothing forecast; OUT policy; VAR (1) demand process;

Holt's exponential smoothing and neural network models for forecasting interval-valued time series,
André Luis Santiago Maia and Francisco de A.T. de Carvalho, in International Journal of Forecasting (2011)
Keywords: Symbolic data analysis Exponential smoothing Neural networks Hybrid forecasting models Interval-valued data

Holt’s exponential smoothing and neural network models for forecasting interval-valued time series,
André Luis Santiago Maia and Francisco de A.T. de Carvalho, in International Journal of Forecasting (2011)
Keywords: Symbolic data analysis; Exponential smoothing; Neural networks; Hybrid forecasting models; Interval-valued data;

Short-term solar irradiance forecasting using exponential smoothing state space model,
Zibo Dong, Dazhi Yang, Thomas Reindl and Wilfred M. Walsh, in Energy (2013)
Keywords: Time series forecasting; Stationarity; Exponential smoothing state space model; Forecast horizon;

Can exponential smoothing do better than seasonal random walk for earnings per share forecasting in Poland?,
Wojciech Kuryłek, in Bank i Kredyt (2023)
Keywords: earnings per share, random walk, exponential smoothing, financial forecasting, Warsaw Stock Exchange

Improving time series forecasting: An approach combining bootstrap aggregation, clusters and exponential smoothing,
Tiago Mendes Dantas and Fernando Luiz Cyrino Oliveira, in International Journal of Forecasting (2018)
Keywords: Bagging methods; Clustering time series; Exponential smoothing; Partitioning around medoids; Variance reduction;

Analysis and forecasting of wind velocity in chetumal, quintana roo, using the single exponential smoothing method,
E. Cadenas, O.A. Jaramillo and W. Rivera, in Renewable Energy (2010)
Keywords: Wind speed forecasting; Exponential smoothing method; ANN; ARMA; ARIMA; Hybrid systems;

Do real exchange rates really follow threshold autoregressive or exponential smooth transition autoregressive models?,
Gawon Yoon, in Economic Modelling (2010)
Keywords: Entropy Nonlinear serial dependence Purchasing power parity Threshold autoregression Exponential smooth transition autoregression Nonlinearity

A Comparison Between Time Series, Exponential Smoothing, and Neural Network Methods To Forecast GDPof Iran,
Ahmad Jafari-Samimi, Babak Shirazi and Hamed Fazlollahtabar, in Iranian Economic Review (IER) (2007)
Keywords: Gross Domestic Product, Time Series Method, Exponential Smoothing, Neural Network, Statistical analysis.

Projection of Greenhouse Gas Emissions for the Road Transport Sector Based on Multivariate Regression and the Double Exponential Smoothing Model,
Reham Alhindawi, Yousef Abu Nahleh, Arun Kumar and Nirajan Shiwakoti, in Sustainability (2020)
Keywords: transport systems; greenhouse gas emissions; multivariate regression; double exponential smoothing; climate change

Constructing Interval Forecasts for Solar and Wind Energy Using Quantile Regression, ARCH and Exponential Smoothing Methods,
John Boland, in Energies (2024)
Keywords: probabilistic forecasting; prediction intervals; ARCH/GARCH; exponential smoothing; solar irradiation; solar farm; wind farm

Equipping Seasonal Exponential Smoothing Models with Particle Swarm Optimization Algorithm for Electricity Consumption Forecasting,
Changrui Deng, Xiaoyuan Zhang, Yanmei Huang and Yukun Bao, in Energies (2021)
Keywords: electricity consumption forecasting; seasonal exponential smoothing models; particle swarm optimization algorithm; grid search method; genetic algorithm

Is China’s Energy Supply Sustainable? New Research Model Based on the Exponential Smoothing and GM(1,1) Methods,
Pin Li and Jinsuo Zhang, in Energies (2019)
Keywords: energy supply; energy security; sustainability assessment; exponential smoothing; GM(1,1); hybrid forecasting

The Log-Exponential Smoothing Technique and Nesterov’s Accelerated Gradient Method for Generalized Sylvester Problems,
Nguyen Thai An, Daniel Giles, Nguyen Mau Nam and R. Blake Rector, in Journal of Optimization Theory and Applications (2016)
Keywords: Log-exponential smoothing technique, Majorization minimization algorithm, Nesterov’s accelerated gradient method, Generalized Sylvester problem

Hierarchical robust aggregation of sales forecasts at aggregated levels in e-commerce, based on exponential smoothing and Holt's linear trend method,
Malo Huard, Rémy Garnier and Gilles Stoltz, from HAL (2020)
Keywords: ensemble forecasts,prediction with expert advice,exponential smoothing,Holt's linear trend method,e-commerce data

EBITDA Index Prediction Using Exponential Smoothing and ARIMA Model,
Lihki Rubio, Alejandro J. Gutiérrez-Rodríguez and Manuel G. Forero, in Mathematics (2021)
Keywords: time series forecasting; exponential smoothing models; decision-making; ARIMA ; EBITDA ; fashion industry sector; economic forecasting; financial strategy; financial performance; economic models

Analysis and Modeling for Short- to Medium-Term Load Forecasting Using a Hybrid Manifold Learning Principal Component Model and Comparison with Classical Statistical Models (SARIMAX, Exponential Smoothing) and Artificial Intelligence Models (ANN, SVM): The Case of Greek Electricity Market,
George P. Papaioannou, Christos Dikaiakos, Anargyros Dramountanis and Panagiotis G. Papaioannou, in Energies (2016)
Keywords: forecasting; electricity load; exponential smoothing; seasonal autoregressive integrated moving average with exogenous (SARIMAX); principal components analysis

Improving smoothness and accuracy of Modified Butterfly subdivision scheme,
Paola Novara, Lucia Romani and Jungho Yoon, in Applied Mathematics and Computation (2016)
Keywords: Non-stationary subdivision; Interpolation; Exponential polynomial reproduction; Smoothness; Approximation order;

Identification and Estimation issues in Exponential Smooth Transition Autoregressive Models,
Daniel Buncic, from Sveriges Riksbank (Central Bank of Sweden) (2017)
Keywords: Exponential STAR; non-linear time series models; identification and estimation issues; exponential weighting function; real exchange rates; simulation analysis.

Computational error bounds for Laplace transform inversion based on smoothing splines,
Rosanna Campagna, Costanza Conti and Salvatore Cuomo, in Applied Mathematics and Computation (2020)
Keywords: Laplace transform inversion; Smoothing splines; Exponential splines; Error bounds;

An Algorithm Based on Active Sets and Smoothing for Discretized Semi-Infinite Minimax Problems,
E. Polak, R. S. Womersley and H. X. Yin, in Journal of Optimization Theory and Applications (2008)
Keywords: Minimax problems, Log-sum-exponential smoothing, Active set strategies

Forecasting Performance of Exponential Smooth Transition Autoregressive Exchange Rate Models,
Ahmad Zubaidi Baharumshah and Venus Liew, in Open Economies Review (2006)
Keywords: autoregressive, smooth transition autoregressive, nonlinear time series, forecasting accuracy,

Forecast Optimization of Wind Speed in the North Coast of the Yucatan Peninsula, Using the Single and Double Exponential Method,
Christy Pérez-Albornoz, Ángel Hernández-Gómez, Victor Ramirez and Damien Guilbert, in Clean Technol. (2023)
Keywords: forecasting method; wind speed; exponential smoothing; moving average