Results 11 to 20 of about 152 (65)

How to define and test explanations in populations

Ratio Mathematica, 2019
Solving applied social, economic, psychological, health care and public health problems can require an understanding of facts or phenomena related to populations of interest.
Peter J. Veazie
doaj   +1 more source

Conditional fiducial models [PDF]

, 2017
The fiducial is not unique in general, but we prove that in a restricted class of models it is uniquely determined by the sampling distribution of the data. It depends in particular not on the choice of a data generating model.
Lindqvist, Bo H., Taraldsen, Gunnar
core   +2 more sources

Inference for copula modeling of discrete data: a cautionary tale and some facts

Dependence Modeling, 2017
In this note, we elucidate some of the mathematical, statistical and epistemological issues involved in using copulas to model discrete data. We contrast the possible use of (nonparametric) copula methods versus the problematic use of parametric copula ...
Faugeras Olivier P.
doaj   +1 more source

Ignorability for categorical data

, 2005
We study the problem of ignorability in likelihood-based inference from incomplete categorical data. Two versions of the coarsened at random assumption (car) are distinguished, their compatibility with the parameter distinctness assumption is ...
Jaeger, Manfred
core   +1 more source

SIGNIFICANT VARIABLE SELECTION AND AUTOREGRESSIVE ORDER DETERMINATION FOR TIME-SERIES PARTIALLY LINEAR MODELS [PDF]

, 2014
This paper is concerned with the regression coefficient and autoregressive order shrinkage and selection via the smoothly clipped absolute deviation (SCAD) penalty for a partially linear model with time-series errors.
Aneiros-pérez, Brockwell, Carroll, Carroll, Chen, Chen, Chen, Engle, Fan, Fan, Fan, Fan, Fan, Fan, Frank, Fu, Gao, Gao, Horowitz, Härdle, Härdle, Lam, Liu, Murphy, Risa, Robinson, Speckman, Tibshirani, Wang, Xiao, Yatchew, You, Zhang   +32 more
core   +1 more source

On the history and use of some standard statistical models

, 2008
This paper tries to tell the story of the general linear model, which saw the light of day 200 years ago, and the assumptions underlying it. We distinguish three principal stages (ignoring earlier more isolated instances). The model was first proposed in
Lehmann, E. L.
core   +1 more source

Prior distributions for objective Bayesian analysis [PDF]

, 2018
We provide a review of prior distributions for objective Bayesian analysis. We start by examining some foundational issues and then organize our exposition into priors for: i) estimation or prediction; ii) model selection; iii) highdimensional models ...
Consonni, Guido, Fouskakis, Dimitris, Liseo, Brunero, Ntzoufras, Ioannis   +3 more
core   +1 more source

Causal inference with textual data: A quasi-experimental design assessing the association between author metadata and acceptance among ICLR submissions from 2017 to 2022

Journal of Causal Inference
Many recent studies have probed status bias in the peer-review process of academic journals and conferences. In this article, we investigated the association between author metadata and area chairs’ final decisions (Accept/Reject) using our compiled ...
Chen Chang, Zhang Jiayao, Ye Ting, Roth Dan, Zhang Bo   +4 more
doaj   +1 more source

Riemannian Holonomy Groups of Statistical Manifolds [PDF]

, 2014
Normal distribution manifolds play essential roles in the theory of information geometry, so do holonomy groups in classification of Riemannian manifolds.
Jiu, Lin, Li, Didong, Sun, Huafei, Tao, Chen   +3 more
core  

Erich Leo Lehmann---A glimpse into his life and work

, 2011
Through the use of a system-building approach, an approach that includes finding common ground for the various philosophical paradigms within statistics, Erich L.
Rojo, Javier
core   +1 more source