Results 41 to 50 of about 248 (135)
Godambe's paradox and the ancillarity principle [PDF]
Godambe's Ancillarity Principle holds only for inferences of Type A in which a unique inference is possible (on some rational ground like 'support' or maximum frequency performance) from a given outcome of a statistical experiment to a particular ...
Bhave, S. V.
core
The Structure of a Linear Model: Sufficiency, Ancillarity, Invariance, Equivariance, and the Normal Distribution [PDF]
Consider a general linear model Y=X[beta]+Z where Cov Z may be known only partially. We investigate carefully the notions of sufficiency, ancillarity, invariance, and equivariance and related notions for projectors in a general linear model. In this way
Bischoff, Wolfgang
core
Ancillarity and the Limited Information Maximum-Likelihood Estimation of a Structural Equation in a Simultaneous Equation System [PDF]
The concepts of the curved exponential family of distributions and ancillarity are applied to estimation problems of a single structural equation in a simultaneous equation model, and the effect of conditioning on ancillary statistics on the limited ...
Hosoya, Yuzo +2 more
core
A note on conditional independence [PDF]
, 1984 This paper is a companion paper of Florens and Mouchart [1977]. It provides some basic tools for the reducion of Bayesian experiments, in particular for the analysis of identification, sufficiency and ...
Rolin, Jean-Marie, Mouchart, Michel
core
Sampling models for selective inference [PDF]
This paper explores the challenges of constructing suitable inferential models in scenarios where the parameter of interest is determined in light of the data, such as regression after variable selection.
García Rasines, Daniel +1 more
core +1 more source
Asymptotic theory of conditional inference for stochastic processes [PDF]
This paper develops an approach to conditional inference for nonergodic stochastic process models by considering asymptotic properties. The context for most of the analysis is that of Le Cam's local asymptotic theory: in particular, the locally ...
Feigin, Paul D.
core
The case for formal methodology in scientific reform. [PDF]
R Soc Open Sci, 2021 Devezer B +3 more
europepmc +1 more source
Elements of Bayesian Statistics [PDF]
, 1990 This important reference/text focuses on the theory of reduction of a Bayesian experiment considered as a (unique) probability measure on a product space (parameter space x sample space).Treating the basic model and its essential properties, it ...
Florens, Jean-Pierre +2 more
core
A note on semiparametric efficient generalization of causal effects from randomized trials to target populations. [PDF]
Commun Stat Theory Methods, 2023 Li F, Hong H, Stuart EA.
europepmc +1 more source