Results 51 to 60 of about 26,772,166 (165)

Goodness-of-fit statistics for approximate Bayesian computation [PDF]

open access: yesarXiv, 2016
Approximate Bayesian computation is a statistical framework that uses numerical simulations to calibrate and compare models. Instead of computing likelihood functions, Approximate Bayesian computation relies on numerical simulations, which makes it applicable to complex models in ecology and evolution.
arxiv  

Statistical Inference with Data Augmentation and Parameter Expansion [PDF]

open access: yesarXiv, 2015
Statistical pragmatism embraces all efficient methods in statistical inference. Augmentation of the collected data is used herein to obtain representative population information from a large class of non-representative population's units. Parameter expansion of a probability model is shown to reduce the upper bound on the sum of error probabilities for
arxiv  

Algebraic statistical models [PDF]

open access: yesStatistica Sinica 2007, Vol. 17, 1273-1297, 2007
Many statistical models are algebraic in that they are defined in terms of polynomial constraints, or in terms of polynomial or rational parametrizations. The parameter spaces of such models are typically semi-algebraic subsets of the parameter space of a reference model with nice properties, such as for example a regular exponential family.
arxiv  

Statistical Models for Degree Distributions of Networks [PDF]

open access: yesarXiv, 2014
We define and study the statistical models in exponential family form whose sufficient statistics are the degree distributions and the bi-degree distributions of undirected labelled simple graphs. Graphs that are constrained by the joint degree distributions are called $dK$-graphs in the computer science literature and this paper attempts to provide ...
arxiv  

Discussion of “Statistical Model for Live Floor Loads” [PDF]

open access: bronze, 1969
C. Allin Cornell   +2 more
openalex   +1 more source

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