21 documents matched the search for the 2020-06-22 issue of the NEP report on Big Data (nep-big), currently edited by Tom Coupé.
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11121
The best way to select features?,
Xin Man and Ernest Chan,
from arXiv.org
(2020)
Sig-SDEs model for quantitative finance,
Imanol Perez Arribas, Cristopher Salvi and Lukasz Szpruch,
from arXiv.org
(2020)
Financial option valuation by unsupervised learning with artificial neural networks,
Beatriz Salvador, Cornelis Oosterlee and Remco van der Meer,
from arXiv.org
(2020)
Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online,
Emaad Manzoor, George H. Chen, Dokyun Lee and Michael Smith,
from arXiv.org
(2020)
BIG DATA e a Informação Pública na Tomada de Decisão,
Francisco Carlos Paletta and Rafael Sena da Conceição,
from Center for Open Science
(2019)
Planes, Trains, and Automobiles: Night-time Lights of the USA,
Jeffrey Dickinson,
from University Library of Munich, Germany
(2020)
Keywords: night-time light, GDP, population, infrastructure, regional development
Using Network Interbank Contagion in Bank Default Prediction,
Riccardo Doyle,
from arXiv.org
(2020)
Computing platforms for big data analytics and artificial intelligence,
Giuseppe Bruno, Hiren Jani, Rafael Schmidt and Bruno Tissot,
from Bank for International Settlements
(2020)
How Boltzmann Entropy Improves Prediction with LSTM,
Luca Grilli and Domenico Santoro,
from University Library of Munich, Germany
(2020)
Keywords: Neural Network; Price Forecasting; LSTM; Entropy
Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering,
Calypso Herrera, Florian Krach and Josef Teichmann,
from arXiv.org
(2021)
Earnings Prediction with Deep Learning,
Lars Elend, Sebastian A. Tideman, Kerstin Lopatta and Oliver Kramer,
from arXiv.org
(2020)
Machine Learning for Zombie Hunting. Firms Failures and Financial Constraints,
Falco J. Bargagli-Stoffi, Massimo Riccaboni and Armando Rungi,
from IMT School for Advanced Studies Lucca
(2020)
Keywords: machine learning; Bayesian statistical learning; financial constraints; bankruptcy;zombie firms
Firm-Level Exposure to Epidemic Diseases: Covid-19, SARS, and H1N1,
Tarek Hassan, Stephan Hollander, Laurence van Lent, Markus Schwedeler and Ahmed Tahoun,
from C.E.P.R. Discussion Papers
(2020)
Keywords: Epidemic diseases; Pandemic; Exposure; Virus; Firms; Uncertainty; Sentiment; Machine learning
Machine Learning in Gravity Models: An Application to Agricultural Trade,
Munisamy Gopinath, Feras A. Batarseh and Jayson Beckman,
from National Bureau of Economic Research, Inc
(2020)
Text-mining IMF country reports - an original dataset,
David Mihalyi and Akos Mate,
from University Library of Munich, Germany
(2019)
Keywords: economic policy, IMF, text analysis, original dataset
Financial frictions and the wealth distribution,
Jesus Fernandez-Villaverde, Samuel Hurtado and Galo Nuño Barrau,
from Banco de España
(2020)
Keywords: heterogeneous agents, wealth distribution, financial frictions, continuoustime, machine learning, neural networks, structural estimation, likelihood function
The Role of Investor Sentiment in Forecasting Housing Returns in China: A Machine Learning Approach,
Oguzhan Cepni, Rangan Gupta and Yigit Onay,
from University of Pretoria, Department of Economics
(2020)
Keywords: Housing prices, Investor sentiment, Bayesian shrinkage, Time-varying parameter model
Econometric Methods and Data Science Techniques: A Review of Two Strands of Literature and an Introduction to Hybrid Methods,
Tian Xie, Jun Yu and Tao Zeng,
from Singapore Management University, School of Economics
(2020)
Measuring Commuting and Economic Activity inside Cities with Cell Phone Records,
Gabriel Kreindler and Yuhei Miyauchi,
from Boston University - Department of Economics
(2020)
The Allocation of Decision Authority to Human and Artificial Intelligence,
Susan Athey, Kevin Bryan and Joshua Gans,
from Stanford University, Graduate School of Business
(2020)
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