Results 221 to 230 of about 336,279 (300)

A distributionally robust bilevel optimization model for wholesale-retail electricity market design. [PDF]

Sci Rep
Jia X, Ji P, Chen F, Deng H, Chen M, Zhuang X, Qi X, Tan Z.   +7 more
europepmc   +1 more source

Technological Diffusion, Conditional Convergence, and Economic Growth

, 2002
D. M. Bloom, David Canning, Jaypee Sevilla   +2 more
openalex   +1 more source

Restricted Tweedie stochastic block models

Canadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

Sequence-to-sequence models with attention mechanistically map to the architecture of human memory search. [PDF]

Commun Psychol
Salvatore N, Zhang Q.
europepmc   +1 more source

Rank‐based estimation of propensity score weights via subclassification

Canadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang, Yuexia Zhang, Thomas S. Richardson, Xiaohua Zhou   +3 more
wiley   +1 more source

Refining the Liver Donor Risk Index With Machine Perfusion: A Bayesian Approach. [PDF]

Clin Transl Gastroenterol
Tanaka T, Sewell D.
europepmc   +1 more source

An Alternative Interpretation of Conditional Convergence Results

, 1998
Dongchul Cho
openalex   +1 more source

Has Financial Reporting Quality Converged Under IFRS? International Differences in Conditional Conservatism

, 2019
Henry Jarva, Suman Lodh, Monomita Nandy, Hannu Ojala   +3 more
openalex   +1 more source

An observation‐driven state‐space model for claims size modelling

Canadian Journal of Statistics, EarlyView.
Abstract State‐space models are popular in econometrics. Recently, these models have gained some popularity in the actuarial literature. The best known state‐space models are of the Kalman‐filter type. These are called parameter‐driven because the observations do not impact the state‐space dynamics.
Jae Youn Ahn, Himchan Jeong, Mario V. Wüthrich   +2 more
wiley   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

Canadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne, Thanh‐Liem Huynh, Mylène Oscar   +2 more
wiley   +1 more source