Results 21 to 30 of about 1,079,892 (278)

Profile Maximum Likelihood Estimation of Single-Index Spatial Dynamic Panel Data Model

open access: yesMathematics, 2023
In this paper, the spatial dynamic panel data (SDPD) model is extended to the single-index spatial dynamic panel data (Si-SDPD) model by introducing a nonlinear connection function to reflect the interaction between explanatory variables.
Mengqi Zhang, Boping Tian
doaj   +1 more source

Generalised likelihood profiles for models with intractable likelihoods

open access: yesStatistics and Computing, 2023
Likelihood profiling is an efficient and powerful frequentist approach for parameter estimation, uncertainty quantification and practical identifiablity analysis. Unfortunately, these methods cannot be easily applied for stochastic models without a tractable likelihood function.
Warne, David   +4 more
openaire   +4 more sources

Assessing parameter identifiability for Dynamic Causal Modelling of fMRI data

open access: yesFrontiers in Neuroscience, 2015
Deterministic dynamic causal modelling (DCM) for fMRI data is a sophisticated approach to analyse effective connectivity in terms of directed interactions between brain regions of interest. To date it is difficult to know if acquired fMRI data will yield
Carolin eArand   +6 more
doaj   +1 more source

Challenges of Profile Likelihood Evaluation in Multi-Dimensional SUSY Scans [PDF]

open access: yes, 2011
Statistical inference of the fundamental parameters of supersymmetric theories is a challenging and active endeavor. Several sophisticated algorithms have been employed to this end. While Markov-Chain Monte Carlo (MCMC) and nested sampling techniques are
A Brignole   +47 more
core   +2 more sources

On Birnbaum-Saunders Inference [PDF]

open access: yes, 2008
The Birnbaum-Saunders distribution, also known as the fatigue-life distribution, is frequently used in reliability studies. We obtain adjustments to the Birnbaum--Saunders profile likelihood function. The modified versions of the likelihood function were
Araujo Jr, Carlos A. G.   +2 more
core   +1 more source

Multiplicative-Binomial Distribution: Some Results on Characterization, Inference and Random Data Generation [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2013
Multiplicative-binomial distribution is one of the distributions that allows for over-dispersion and under-dispersion relative to the standard binomial distribution.
Elsayed A.H. Elamir
doaj   +1 more source

How to use χ2 test correctly——the likelihood ratio test and the implementation of SAS software

open access: yesSichuan jingshen weisheng, 2021
The purpose of this article was to introduce the likelihood ratio test and the SAS implementation. Specifically, three definitions of the likelihood ratio test statistics and six more commonly used likelihood ratio test statistics were introduced.
Hu Chunyan, Hu Liangping
doaj   +1 more source

Fletcher-Turek Model Averaged Profile Likelihood Confidence Intervals [PDF]

open access: yes, 2014
We evaluate the model averaged profile likelihood confidence intervals proposed by Fletcher and Turek (2011) in a simple situation in which there are two linear regression models over which we average. We obtain exact expressions for the coverage and the
Abeysekera, Waruni   +2 more
core   +3 more sources

An Automated Profile-Likelihood-Based Algorithm for Fast Computation of the Maximum Likelihood Estimate in a Statistical Model for Crash Data

open access: yesJournal of Applied Mathematics, 2022
Numerical computation of maximum likelihood estimates (MLE) is one of the most common problems encountered in applied statistics. Even if there exist many algorithms considered as performing, they can suffer in some cases for one or many of the following
Issa Cherif Geraldo
doaj   +1 more source

A Coverage Study of the CMSSM Based on ATLAS Sensitivity Using Fast Neural Networks Techniques [PDF]

open access: yes, 2011
We assess the coverage properties of confidence and credible intervals on the CMSSM parameter space inferred from a Bayesian posterior and the profile likelihood based on an ATLAS sensitivity study.
Bridges, M.   +5 more
core   +2 more sources

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