Results 11 to 20 of about 132 (45)

How to define and test explanations in populations

open access: yesRatio 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

Likelihood decision functions [PDF]

open access: yes, 2012
In both classical and Bayesian approaches, statistical inference is unified and generalized by the corresponding decision theory. This is not the case for the likelihood approach to statistical inference, in spite of the manifest success of the ...
Cattaneo, Marco E. G. V.
core   +1 more source

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

open access: yes, 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   +32 more
core   +1 more source

Benchmarking in cluster analysis: A white paper [PDF]

open access: yes, 2018
To achieve scientific progress in terms of building a cumulative body of knowledge, careful attention to benchmarking is of the utmost importance. This means that proposals of new methods of data pre-processing, new data-analytic techniques, and new ...
Boulesteix, Anne-Laure   +7 more
core   +4 more sources

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

open access: yesDependence 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

On the history and use of some standard statistical models

open access: yes, 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

Ignorability for categorical data

open access: yes, 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

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

open access: yesJournal 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   +4 more
doaj   +1 more source

Estadística, societat i veritat [PDF]

open access: yes, 2002
Se hace una exposición general de la incidencia de la estadística en la sociedad, desde una perspectiva histórica y actual. Los métodos y resultados de la estadística representan una forma actual e imprescindible del pensamiento, que abarca todos los ...
Cuadras, C. M.
core   +1 more source

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

open access: yes, 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

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