Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 85 for “"Frequentist"”.
-
Fiducial Inference for Mixed-Effects Models: A Frequentist Advancement for Small-Sample Problems
… for mixed-effects models, offering a robust frequentist alternative for statistical inference in small-sample settings. Traditional methods such as maximum likelihood estimation (MLE), Wald-type intervals, and bootstrap techniques often fail to provide accurate interval estimates when sample …
-
Frequentist-Bayesian Hybrid Tests in Semi-parametric and Non-parametric Models with Low/High-Dimensional Covariate
We provide a Frequentist-Bayesian hybrid test statistic in this dissertation for two testing problems. The first one is to design a test for the significant differences between non-parametric functions and the second one is to design a test allowing any departure of predictors of high dimensional X …
-
Bayesian and Frequentist Approaches for the Analysis of Multiple Endpoints Data Resulting from Exposure to Multiple Health Stressors.
In risk analysis, Benchmark dose (BMD)methodology is used to quantify the risk associated with exposure to stressors such as environmental chemicals. It consists of fitting a mathematical model to the exposure data and the BMD is the dose expected to result in a pre-specified response or benchmark …
-
Rationality or irrationality of preferences? A quantitative test of intransitive decision heuristics
… from three different experiments using both frequentist and Bayesian order-constrained statistical methods. The frequentist goodness-of-fit tests show that the distance-based models with modal choice and the mixture models for all of the decision heuristics explain the participants' data …
-
Asymptotic theory for Bayesian nonparametric procedures in inverse problems
… main goal of this thesis is to investigate the frequentist asymptotic properties of nonparametric Bayesian procedures in inverse problems and the Gaussian white noise model. In the first part, we study the frequentist posterior contraction rate of nonparametric Bayesian procedures in linear …
-
Three essays on crime policy and the Bayesian bootstrap
… Bayesian bootstrap (Banks, 1988) have frequentist coverage probability error of only O(n⁻¹). In addition, I show that these "continuity-corrected" Bayesian bootstrap credible intervals achieve the same frequentist coverage probability as the frequentist confidence intervals of Goldman …
-
Modelling and prediction of intermittent demand distributions
… on inventory management is dominated by the'frequentist-approach'; this is the term that is being used in this thesis to refer to all thesolutions that rely on frequentist inference in order to obtain the demand distribution. Thefrequentist-based approach is characterised by a reliance on a …
-
Development of a Bayesian linear regression model for the detection of a weak radiological source from gamma spectra measurements
… and the interaction properties of radiation. Frequentist statistical methods are traditionally employed towards this end – the most common being the "traditional" method which calculates a decision threshold above which a source is determined to be present. The decision threshold is calculated …
-
Model Uncertainty & Model Averaging Techniques
… methods including Bayesian model averaging and Frequentist model averaging are the main statistical tools that incorporate theory uncertainty into the estimation process. To address functional form uncertainty, a variety of techniques have been proposed in the literature. One suggestion, for …
-
Multilevel modelling of determinants of contraceptive method choice among women in South Africa
… to bring together multilevel models from both frequentist and Bayesian perspectives in identifying determinants of contraceptive choices. The study uses the data from the 2016 South African Demographic and Health Survey (SADHS). To analyse the dataset, a multinomial logistic regression model …
-
Data combining using mixtures of g-priors with application on county-level female breast cancer prevalence
… of the theoretical properties including biases, frequentist variances, and mean squared errors. In the first project, data combining of linear models with the classical mixtures of g-priors is investigated. We calculate and compare the posterior estimates and the frequentist properties of the …
-
Search for D⁰-D̄⁰ mixing in D⁰ --> K⁺ [pi]⁻ [pi]⁻ [pi]⁺ decays
… and RM < 0.048% at 95% confidence. Using a frequentist method, we estimate that the data are consistent with no mixing at 4.3% confidence level. We present results both with and without the assumption of CP conservation.
-
Naturalism & Objectivity: Methods and Meta-methods
… the approach is a re-interpretation of standard frequentist (Fisherian, Neyman-Pearson) statistics. Informally, it gives an account of inductive inference based on arguing from error, an analog of frequentist statistics, which keeps the concept of error probabilities central to the evaluation of …
-
Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model
… populations with common covariance matrix. Frequentist properties of the Bayesian procedure using these objective priors are studied through analytical and numerical tools. The third part considers the star-shape Gaussian graphical model, which is a special case of undirected Gaussian …
-
Modelling probabilities of corporate default
… infer parameters using classical statistical frequentist likelihood estimation and one-world-view pseudo-likelihood estimation. We improve the initial estimates from our pseudo-likelihood estimation by using Sequential Monte Carlo techniques and pseudo-Bayesian inference. With these …
-
Generalized Empirical Bayes: Theory, Methodology, and Applications
… development of a \textit{consolidated} Bayes-frequentist data analysis workflow that is more effective than either of the two separately. In this thesis, we propose generalized empirical Bayes as a new framework for exploring these fundamental questions along with a wide range of applications …
-
A new evidence measure for Bayesian Inference
… the role that the p-value has played in the frequentist setting. A prominent example is the decision test based on the Bayes Factor. Worth to mention it is also the e-value, another Bayesian evidence measure on which the Full Bayesian Significance Test procedure is based. The aim of this …
-
Bayesian Analysis of Linear Inverse Problems with Applications in Economics and Finance
… and then a problem of inconsistency, from a frequentist point of view, of the posterior distribution (i.e. problem of ill-posedness). The contribution of this essay is to propose new methods to deal with this problem of ill-posedness. The first one consists in adopting a Tikhonov …
-
Essays on Econometrics and Policy Evaluation
… to the synthetic control method and explores the frequentist properties of the method in the context of linear factor models. In this chapter, we characterize the conditions on the factor model primitives (the factor loadings) for which the statistical risk minimizers are synthetic controls (in …
Page 1 of 5