Results 41 to 50 of about 936 (136)

Inference for bounded parameters

open access: yes, 2003
The estimation of signal frequency count in the presence of background noise has had much discussion in the recent physics literature, and Mandelkern [1] brings the central issues to the statistical community, leading in turn to extensive discussion by ...
B. P. Roe   +21 more
core   +1 more source

Reducción de modelos en la presencia de parámetros de perturbación Reduction of Models in the Presence of Nuisance Parameters

open access: yesRevista Colombiana de Estadística, 2009
En muchos problemas de inferencia estadística existe interés en estimar solamente algunos elementos del vector de parámetros que definen el modelo adoptado.
RAFAEL FARIAS   +2 more
doaj  

A Dust spectral energy distribution model with hierarchical Bayesian inference. I. Formalism & benchmarking

open access: yes, 2018
This article presents a new dust SED model, named HerBIE, aimed at eliminating the noise-induced correlations and large scatter obtained when performing least-squares fits.
Galliano, F.
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

Panel Data, Local Cuts, and Orthogeodesic Models [PDF]

open access: yes
Orthogeodesic models admit marginal local cuts and therefore separate inference on subparameters is asymptotically justified. Doubly-flat orthogeodesic models admit local cuts marginally and conditionally.
Bent Jesper Christensen, Nicholas Kiefer
core  

Implications of macroeconomic volatility in the Euro area [PDF]

open access: yes, 2018
In this paper we estimate a Bayesian vector autoregressive model with factor stochastic volatility in the error term to assess the effects of an uncertainty shock in the Euro area.
Böck, Maximilian   +4 more
core   +1 more source

Quantifying the effect of interannual ocean variability on the attribution of extreme climate events to human influence

open access: yes, 2016
In recent years, the climate change research community has become highly interested in describing the anthropogenic influence on extreme weather events, commonly termed "event attribution." Limitations in the observational record and in computational ...
Angelil, Oliver   +4 more
core   +1 more source

Discrete choice non-response [PDF]

open access: yes
Missing values are endemic in the data sets available to econometricians. This paper suggests a unified likelihood-based approach to deal with several nonignorable missing data problems for discrete choice models. Our concern is when either the dependent
Esmerelda A. Ramalho, Richard Smith
core  

Nonparametric Conditional Inference for Regression Coefficients with Application to Configural Polysampling [PDF]

open access: yes, 2007
We consider inference procedures, conditional on an observed ancillary statistic, for regression coefficients under a linear regression setup where the unknown error distribution is specified nonparametrically.
Ho, Yvonne, Lee, Stephen
core   +1 more source

Dual Connections in Nonparametric Classical Information Geometry

open access: yes, 2010
We construct an infinite-dimensional information manifold based on exponential Orlicz spaces without using the notion of exponential convergence. We then show that convex mixtures of probability densities lie on the same connected component of this ...
Grasselli, M. R.
core   +2 more sources

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