Results 51 to 60 of about 424,815 (283)
Least squares after model selection in high-dimensional sparse models [PDF]
, 2013 In this article we study post-model selection estimators that apply ordinary least squares (OLS) to the model selected by first-step penalized estimators, typically Lasso.
Belloni, Alexandre, Chernozhukov, Victor
core +2 more sources
Efficient construction of linear models in materials modeling and applications to force constant expansions [PDF]
, 2020 Linear models, such as force constant (FC) and cluster expansions, play a key role in physics and materials science. While they can in principle be parametrized using regression and feature selection approaches, the convergence behavior of these ...
Erhart, Paul +2 more
core +2 more sources
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT This study examines the official announcement effect of the Market Facilitation Program (MFP) and the Coronavirus Food Assistance Program (CFAP) on the corn and soybean futures market. Using a permutation test and a 2‐stage GLS model, we find no significant official announcement effect.
Zhining Sun +3 more
wiley +1 more source
Health in Emergencies & Disasters Quarterly, 2020 Background: Iran detected its first COVID-19 case in February 2020 in Qom province, which rapidly spread to other cities in the country. Iran, as one of those countries with the highest number of infected people, has officially reported 1812 deaths from ...
Mohsen Shariati +3 more
doaj
Identification of the neighborhood and CA rules from spatio-temporal CA patterns [PDF]
, 2003 Extracting the rules from spatio-temporal patterns generated by the evolution of cellular automata (CA) usually produces a CA rule table without providing a clear understanding of the structure of the neighborhood or the CA rule.
Billings, S.A., Yang, Y.X.
core +1 more source
Changes in Alcohol Retail Laws and Foot Traffic at Liquor Stores
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT We study how expanding alcohol availability at grocery and convenience stores affects consumer traffic in liquor stores by leveraging recent changes in state‐level alcohol distribution laws in a difference‐in‐difference quasi‐experimental design.
Nathan Palardy +3 more
wiley +1 more source
The finite-sample effects of VAR dimensions on OLS bias, OLS variance, and minimum MSE estimators: Purely nonstationary case [PDF]
, 2004 Vector autoregressions (VARs) are an important tool in time series analysis. However, relatively little is known about the nite-sample behaviour of parameter estimators.
Lawford, S, Stamatogiannis, M P
core
Beyond the Ban—Shedding Light on Smallholders' Price Vulnerability in Indonesia's Palm Oil Industry
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT The Indonesian government imposed a palm oil export ban in April 2022 to address rising cooking oil prices. This study explores oil palm smallholders' vulnerability to the policy using descriptive statistics, Lasso, and post‐Lasso OLS regressions.
Charlotte‐Elena Reich +3 more
wiley +1 more source
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Understanding how policy instruments with overlapping goals interact is crucial for leveraging their synergies. This study explores the mechanisms for regional nature parks (a form of protected areas that impose no restrictions on agriculture) to enhance the adoption of biodiversity‐conserving agri‐environment schemes (AES) in Switzerland ...
Yanbing Wang +3 more
wiley +1 more source
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2016 Time series forecasting models can be used to predict phenomena that occur in nature. Generalized Space Time Autoregressive (GSTAR) is one of time series model used to forecast the data consisting the elements of time and space.
Siti Choirun Nisak
doaj +1 more source