Search Results

Vector autoregressions: forecasting and reality,
John Robertson and Ellis Tallman, in Economic Review (1999)
Keywords: Forecasting; Vector autoregression

Vector autoregressions and reality,
David E. Runkle, from Federal Reserve Bank of Minneapolis (1987)
Keywords: Econometric models; Vector autoregression

Two Decades of Vector Autoregression (VAR) Modeling,
Renato Reside, in Philippine Review of Economics (2001)
Keywords: vector autoregressions

Structural vector autoregressions: theory of identification and algorithms for inference,
Juan F Rubio-Ramirez, Daniel Waggoner and Tao Zha, from Federal Reserve Bank of Atlanta (2008)
Keywords: Vector autoregression

Proceedings of the Workshop on Irrigation and Vector-Borne Disease Transmission,
Iimi and Joint WHO/FAO/UNEP Panel of Experts on Environmental Management for Vector Control, from International Water Management Institute (1986)
Keywords: Disease vectors

ESTIMATION OF THE VECTOR MOVING AVERAGE MODEL BY VECTOR AUTOREGRESSION,
John Galbraith, Aman Ullah and Victoria Zinde-Walsh, in Econometric Reviews (2002)
Keywords: Vector autoregression, Vector moving average, JEL Classification: , C12, C22,

Vector Variational Inequalities Involving Vector Maximal Points,
M.H. Kim, S.H. Kum and G.M. Lee, in Journal of Optimization Theory and Applications (2002)
Keywords: vector variational inequalities, vector maximal points, set convergence

Well Posedness in Vector Optimization Problems and Vector Variational Inequalities,
G. P. Crespi, A. Guerraggio and M. Rocca, in Journal of Optimization Theory and Applications (2007)
Keywords: Vector optimization, vector variational inequalities, well posedness

A reduced formulation for pseudoinvex vector functions,
Manuel Arana-Jiménez, Riccardo Cambini and Laura Carosi, in Annals of Operations Research (2018)
Keywords: Multiobjective optimization, Vector invexity, Vector pseudoinvexity

A Note on Geodesic Vector Fields,
Sharief Deshmukh, Josef Mikeš, Nasser Bin Turki and Gabriel-Eduard Vîlcu, in Mathematics (2020)
Keywords: geodesic vector field; concircular vector field; n-sphere; Euclidean space

On the monotone convergence of vector means,
D. R. Jensen, in Journal of Multivariate Analysis (2003)
Keywords: Vector sums Exchangeable vector sequences Majorization Concentration inequalities Monotone consistency

Vector Quantile Regression,
Guillaume Carlier, Victor Chernozhukov and Alfred Galichon, from HAL (2015)
Keywords: Vector Quantile Regression,Vector Conditional Quantile Function,Monge-Kantorovich,Brenier

Proximinality in Topological Vector Spaces,
A. Shmasneh and R. Khalil, in Academic Journal of Applied Mathematical Sciences (2016)
Keywords: Proximinal sets; Topological vector spaces

Convexity and Marginal Vectors,
S. van Velzen, H.J.M. Hamers and Henk Norde, from Tilburg University, Center for Economic Research (2002)
Keywords: game theory; convexity; marginal vectors

Relaxed support vector regression,
Orestis P. Panagopoulos, Petros Xanthopoulos, Talayeh Razzaghi and Onur Şeref, in Annals of Operations Research (2019)
Keywords: Regression, Relaxed support vector regression, Outliers, Relaxed support vector machines, Support vector regression

Survey on Vector Complementarity Problems,
F. Giannessi, G. Mastroeni and X. Yang, in Journal of Global Optimization (2012)
Keywords: Vector Complementarity Problem, Vector variational inequality, Vector optimization problem, Minimal element problem,

Support vector machines in relational databases,
Stefan Rüping, from Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen (2002)
Keywords: Support Vector Machines, Efficiency

Multivariate decisions with unknown price vector,
Marco Scarsini and Pietro Muliere, from HAL (1989)
Keywords: Multivariate,decision,price vector

Strongly 2-shape-sortability of vector partitions,
Huilan Chang and Junyi Guo, in Journal of Combinatorial Optimization (2006)
Keywords: Vector partition, Sortability, Optimality

Econometric Analysis with Vector Autoregressive Models,
Helmut Luetkepohl, from European University Institute (2007)
Keywords: VAR, vector autoregressive models

Proper Efficiency in Vector Optimization on Real Linear Spaces,
M. Adán and V. Novo, in Journal of Optimization Theory and Applications (2004)
Keywords: Vector optimization, vector closure, proper efficiency, vector convexlikeness

Derivation of the solar geometric relationships using vector analysis,
Alistair B. Sproul, in Renewable Energy (2007)
Keywords: Solar vector; Solar geometry; Vector analysis;

Computational Vector Mechanics in Atmospheric and Climate Modeling,
James Williams, Britton Landry, Matthew Mogensen and Theodore V. V. Hromadka, from IntechOpen
Keywords: Vectors, vector fields, curl, divergence, Divergence Theorem

Vector Approximation,
Johannes Jahn, from Springer (2011)
Keywords: Minimal Element, Minimal Solution, Simultaneous Approximation, Vector Optimization Problem, Maximal Solution

Generalized vector variational-like inequalities and vector optimization,
Qamrul Ansari, Mahboubeh Rezaie and Jafar Zafarani, in Journal of Global Optimization (2012)
Keywords: Generalized vector variational-like inequalities, Vector optimization problems, Pseudoinvexity, Quasimonotonicity, Properly quasimonotonicity, Clarke’s generalized subdifferential,

On the Vector Representation of Characteristic Functions,
Wolf-Dieter Richter, in Stats (2023)
Keywords: complex number; imaginary number; vector representation; vector exponential function; characteristic function; Fourier transformation; polar representation; vector power expansion

ESTIMATION OF THE CENTRAL MOMENTS OF A RANDOM VECTOR BASED ON THE DEFINITION OF THE POWER OF A VECTOR,
Katarzyna Budny, in Statistics in Transition New Series (2017)
Keywords: central moment of a random vector, estimator, multivariate distribution, power of a vector.

Well-posed Vector Optimization Problems and Vector Variational Inequalities,
Rocca Matteo, from Department of Economics, University of Insubria (2004)
Keywords: Keywords: vector optimization, vector variational inequality, well-posedness

Estimation of the Central Moments of a Random Vector Based on the Definition of the Power of a Vector,
Budny Katarzyna, in Statistics in Transition New Series (2017)
Keywords: central moment of a random vector, estimator, multivariate distribution, power of a vector

ON VECTORIZATION FOR LATTICE BASED SIMULATIONS,
Aniruddha G. Shet, K. Siddharth, Shahajhan H. Sorathiya, Anand M. Deshpande, Sunil D. Sherlekar, Bharat Kaul and Santosh Ansumali, in International Journal of Modern Physics C (IJMPC) (2013)
Keywords: Lattice Boltzmann, performance optimization, vectorization, SIMD, 11.25.Hf, 123.1K

General Fractional Vector Calculus,
Vasily E. Tarasov, in Mathematics (2021)
Keywords: vector calculus; fractional calculus; fractional dynamics

Reference vectors in economic choice,
Teycir Goucha, in Theoretical and Applied Economics (2013)
Keywords: choice; rationality; referential preferences; social approach; vectors.

Scalarization and Stability in Vector Optimization,
E. Miglierina and E. Molho, in Journal of Optimization Theory and Applications (2002)
Keywords: vector optimization, scalarization, set convergence, well-posedness

Vector Ordinal Optimization,
Q. C. Zhao, Y. C. Ho and Q. S. Jia, in Journal of Optimization Theory and Applications (2005)
Keywords: Multiobjective optimization, stochastic optimization, vector ordinal optimization

Selective support vector machines,
Onur Seref, O. Erhun Kundakcioglu, Oleg A. Prokopyev and Panos M. Pardalos, in Journal of Combinatorial Optimization (2009)
Keywords: Classification, Support vector machines, Quadratic mixed 0-1 programming

Core Concepts for Share Vectors,
Rene van den Brink and Gerard van der Laan, from Tilburg University, Center for Economic Research (1999)
Keywords: TU-game; share vector; core; reduced game

Heteroskedastic Proxy Vector Autoregressions,
Helmut Lütkepohl and Thore Schlaak, from Verein für Socialpolitik / German Economic Association (2021)
Keywords: Structural vector autoregression, proxy VAR, identification throughheteroskedasticity

Vector Autoregressive Model and Analysis,
Murat Akkaya, from Springer (2021)
Keywords: Vector autoregressive (VAR) models, Granger causality, Eviews

Vector rational error correction,
Sharon Kozicki and Peter Tinsley, from Federal Reserve Bank of Kansas City (1998)
Keywords: Vector autoregression; Rational expectations (Economic theory)

On the Scalarization of Vector Optimization Problems,
Letizia Pellegrini, from University of Verona, Department of Economics (2016)
Keywords: Vector Optimization, Scalarization, Image Space, Bicriteria Optimization

Generalized vector quasi-equilibrium problems,
Jun-Yi Fu, in Mathematical Methods of Operations Research (2000)
Keywords: Key words. Vector equilibrium problem, multivalued mapping, ordered vector space,

Existence of ∈-Minima for Vector Optimization Problems,
K. R. Kazmi, in Journal of Optimization Theory and Applications (2001)
Keywords: vector optimization problems, ∈-generalized minima, ∈-directional derivatives, vector variational inequalities

Some Remarks On Vector Optimization Problems,
K. R. Kazmi, in Journal of Optimization Theory and Applications (1998)
Keywords: Vector variational-like inequalities, vector optimization problems, preinvex mappings

Stampacchia Generalized Vector Quasiequilibrium Problems and Vector Saddle Points,
J. Y. Fu, in Journal of Optimization Theory and Applications (2006)
Keywords: Stampacchia vector equilibrium problems, vector saddle points, set-valued mappings, fixed points, ordered topological vector spaces

Vector Autoregression and Error Correction Models,
V. Bannikov, in Applied Econometrics (2006)
Keywords: vector autoregression; error correction; EViews

Incremental learning with support vector machines,
Stefan Rüping, from Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen (2002)
Keywords: Support Vector Machines, Incremental Learning

Vector autoregression with varied frequency data,
Hang Qian, from University Library of Munich, Germany (2010)
Keywords: Vector Autoregression; Bayesian; Temporal aggregation

Generalized Vector Variational-Like Inequalities,
T. Jabarootian and J. Zafarani, in Journal of Optimization Theory and Applications (2008)
Keywords: Fan’s KKM theorem, Vector variational-like inequalities, Strong vector variational-like inequalities, Vector implicit variational inequalities, Vector optimization problems

Identification, vector autoregression, and block recursion,
Tao Zha, from Federal Reserve Bank of Atlanta (1996)
Keywords: time series analysis; Vector autoregression

Characterizations of Solutions for Vector Equilibrium Problems,
Q.H. Ansari, Igor Konnov and J.C. Yao, in Journal of Optimization Theory and Applications (2002)
Keywords: Vector optimization problems, vector equilibrium problems, dual vector equilibrium problems, set-valued maps, characterization of solutions

Vector Equilibrium Problems on Dense Sets,
Szilárd László, in Journal of Optimization Theory and Applications (2016)
Keywords: Self-segment-dense set, Vector equilibrium problem, Vector optimization, Vector variational inequality

A Φ-Entropy Contraction Inequality for Gaussian Vectors,
Liming Wu, in Journal of Theoretical Probability (2009)
Keywords: Gaussian vectors, Φ-entropy

Characterization of vector valued, gaussian, stationary, markov processes,
Henryk Gzyl, in Statistics & Probability Letters (1987)
Keywords: vector Markov processes characterization

The exact likelihood function for the vector ARMA model,
José Alberto Mauricio Arias, from Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico (1993)
Keywords: Vector ARMA model.

Evaluating the accuracy of forecasts from vector autoregressions,
Todd Clark and Michael McCracken, from Federal Reserve Bank of St. Louis (2013)
Keywords: Economic forecasting; Vector autoregression

On generalized derivatives for C1,1 vector functions and optimality conditions,
Davide LaTorre, from Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano (2002)
Keywords: Vector optimization, Generalized derivatives.

Applying the Vectors,
Uday Phadke and Shailendra Vyakarnam, from World Scientific Publishing Co. Pte. Ltd. (2018)
Keywords: Scale-up, Commercialisation, Innovation, Meso-economic Vectors, The Triple Chasm Model, Science and Technology, Sustainable Development, Unified Approach, Research and Development,

Nonsmooth Vector Optimization Problems and Minty Vector Variational Inequalities,
Q. H. Ansari and G. M. Lee, in Journal of Optimization Theory and Applications (2010)
Keywords: Minty vector variational inequalities, Stampacchia vector variational inequalities, Vector optimization problems, Vector minimal points, Weak vector minimal points, Dini derivative, Pseudoconvex functions, Upper sign continuity

Rough support vector regression,
P. Lingras and C.J. Butz, in European Journal of Operational Research (2010)
Keywords: Rough set Rough value Support vector machine Prediction Possiblistic regression Support vector regression

Vector Gravitation Clustering Networks,
Zong-chang Yang, in Information Systems Frontiers (2021)
Keywords: Vector gravitational force model, Phenomenon of gravitation, Clustering, Vector gravitation clustering networks

CDAscal: An algorithm for assessing the correspondence of one or more vectors to a symmetric matrix using ordinal regression,
Thomas Reynolds, David Weeks and Steve Perkins, in Psychometrika (1987)
Keywords: vector fitting,

Study of vector aspects of mosquito-borne diseases in some irrigation schemes in Sri Lanka,
P. R. J. Herath, N. Jayasekera, K. Kalpage, M. B. Wickremasinghe, V. Gunatilake and W. M. Nanayakkara, from International Water Management Institute (1986)
Keywords: Disease vectors

Critical Points Index for Vector Functions and Vector Optimization,
E. Miglierina, E. Molho and M. Rocca, in Journal of Optimization Theory and Applications (2008)
Keywords: Vector optimization, Critical points, Morse index, Second-order differentials

Support vector machines with two support vectors,
Marcin Owczarczuk, from Department of Applied Econometrics, Warsaw School of Economics (2009)
Keywords: support vector machines, Vapnik-Chervonenkis dimension, microarray experiment, tumor classification.

An Existence Result for the Generalized Vector Equilibrium Problem on Hadamard Manifolds,
E. E. A. Batista, G. C. Bento and O. P. Ferreira, in Journal of Optimization Theory and Applications (2015)
Keywords: Vector equilibrium problem, Vector optimization, Hadamard manifold

Alternative procedures for estimating vector autoregressions identified with long-run restrictions,
Lawrence Christiano, Martin Eichenbaum and Robert Vigfusson, from Board of Governors of the Federal Reserve System (U.S.) (2005)
Keywords: Vector analysis; Vector autoregression; Econometric models

Improvement sets and vector optimization,
C. Gutiérrez, B. Jiménez and V. Novo, in European Journal of Operational Research (2012)
Keywords: Improvement set; Minimal point; Vector optimization; ε-Efficiency; Scalarization;

On a vector double autoregressive model,
Huafeng Zhu, Xingfa Zhang, Xin Liang and Yuan Li, in Statistics & Probability Letters (2017)
Keywords: Vector double autoregressive model; quasi maximum likelihood estimator;

Multiple regression on stable vectors,
Stamatis Cambanis and Wei Wu, in Journal of Multivariate Analysis (1992)
Keywords: Stable random vectors linear multiple regression moving averages harmonizable processes

Cointegration in a periodic vector autoregression,
Frank Kleibergen and Philip Hans Franses, from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute (1999)
Keywords: GMM, VAR model, periodic vector autoregressive time series model

Support vector machines,
Nick Guenther and Matthias Schonlau, in Stata Journal (2016)
Keywords: svmachines, svm, statistical learning, machine learning, support vector machines

Noncausal Vector Autoregression,
Markku Lanne and Pentti Saikkonen, from University Library of Munich, Germany (2010)
Keywords: Vector autoregression; noncausal time series; non-Gaussian time series

Gaussian mixture vector autoregression,
Leena Kalliovirta, Mika Meitz and Pentti Saikkonen, in Journal of Econometrics (2016)
Keywords: Mixture models; Nonlinear vector autoregressive models; Regime switching;

Bayesian Vector Autoregressions,
Silvia Miranda-Agrippino and Giovanni Ricco, from University of Warwick, Department of Economics (2018)
Keywords: Bayesian inference ; Vector Autoregression Models ; BVAR ; SVAR ; forecasting

Bayesian vector autoregressions,
Silvia Miranda-Agrippino and Giovanni Ricco, from London School of Economics and Political Science, LSE Library (2018)
Keywords: Bayesian inference; Vector Autoregression Models; BVAR; SVAR; forecasting

Bayesian vector autoregressions,
Silvia Miranda Agrippino and Giovanni Ricco, from HAL (2018)
Keywords: Bayesian inference,Vector Autoregression Models,BVAR,SVAR,forecasting

Bayesian vector autoregressions,
Silvia Miranda Agrippino and Giovanni Ricco, from HAL (2018)
Keywords: Bayesian inference,Vector Autoregression Models,BVAR,SVAR,forecasting

Duality in nonconvex vector optimization,
Refail Kasimbeyli and Masoud Karimi, in Journal of Global Optimization (2021)
Keywords: Vector optimization, Separation theorem, Duality, Augmented Lagrangian, Saddle point criterion

Criteria for efficiency in vector optimization,
Francisco Vázquez, Hubertus Jongen, Vladimir Shikhman and Maxim Todorov, in Mathematical Methods of Operations Research (2009)
Keywords: Vector optimization, Efficiency criteria, Density, 49D39, 65F99, 15A39,

On Lexicographic Vector Equilibrium Problems,
Igor Konnov, in Journal of Optimization Theory and Applications (2003)
Keywords: Vector equilibrium problems, lexicographic order, inverse optimization problems

Robustness in Deterministic Vector Optimization,
Morteza Rahimi and Majid Soleimani-damaneh, in Journal of Optimization Theory and Applications (2018)
Keywords: Vector optimization, Nonsmooth optimization, Robust solutions, Robustness radius

On Efficient Solutions in Vector Optimization,
S. Deng, in Journal of Optimization Theory and Applications (1998)
Keywords: Vector optimization, efficient solutions, weakly efficient solutions, scalar optimization

Relaxing support vectors for classification,
Onur Şeref, Wanpracha Chaovalitwongse and J. Brooks, in Annals of Operations Research (2014)
Keywords: Classification, Support vector machines, Error bounds, Multiple instance classification,

Analysis of asymmetry by a slide-vector,
Berrie Zielman and Willem Heiser, in Psychometrika (1993)
Keywords: slide-vector model, unfolding, constrained multidimensional scaling, asymmetry,

Convex support vector regression,
Zhiqiang Liao, Sheng Dai and Timo Kuosmanen, in European Journal of Operational Research (2024)
Keywords: Robustness and sensitivity analysis; Convex regression; Support vector regression; Overfitting; Regularization;

Bayesian vector autoregressions,
Silvia Miranda-Agrippino and Giovanni Ricco, from Observatoire Francais des Conjonctures Economiques (OFCE) (2018)
Keywords: Bayesian inference, Vector autregression models, BVAR, SVAR, Forecasting.

Bayesian Vector Autoregressions,
Silvia Miranda-Agrippino and Giovanni Ricco, from Centre for Macroeconomics (CFM) (2018)
Keywords: Bayesian inference, Vector Autoregression models, BVAR, SVAR, forecasting

Heteroskedastic Proxy Vector Autoregressions,
Helmut Lütkepohl and Thore Schlaak, from DIW Berlin, German Institute for Economic Research (2020)
Keywords: Structural vector autoregression, proxy VAR, identification through heteroskedasticity

Vector Autoregression and Causality,
Hiro Y. Toda and Peter Phillips, from Cowles Foundation for Research in Economics, Yale University (1991)
Keywords: Error correction model, exogeneity, Granger causality, vector autoregression

Vector and Set Optimization,
Gabriele Eichfelder and Johannes Jahn, from Springer (2016)
Keywords: Vector optimization, Set optimization, Existence results, Variable ordering structure