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 32 for “"maximum likelihood methods"”.
-
Bayesian and maximum likelihood methods for some two-segment generalized linear models.
… in Poisson and logistic regression. We focus on maximum likelihood and Bayesian methods.
-
The evolution of annuality in association with a shift to more arid environments in the daisy genera Ifloga and Tricogyne
… Trichogyne and Ifloga (Asteraceae). Bayesian methods were used for phylogeny inference and maximum likelihood methods for ancestral state reconstructions. Only two phylogenetically independent contrasts were obtained and so the association between changes from annuality to perenniality and …
-
Genetic Evaluation and Parameter Estimation Using Marker and Trait Information
… ( r) between a marker locus and a marked QTL. Maximum likelihood methods are widely used to estimate genetic parameters. This thesis presents a new approximation to the likelihood for a pedigree with loops, based on cutting all loops and extending the pedigree at the cuts. An optimum strategy …
-
Maximum likelihood estimation in dynamical systems
… <br>are only partially observed. <br>Here maximum likelihood methods are used for the estimation of the <br>parameters from noisy measurements and to construct the unobserved <br>components of a system. <br>These methods take into account the entire information about the <br>deterministic …
-
The initial unemployment duration of immigrants to Khayelitsha/Mitchell's Plain
… of a discrete-time hazard model are obtained via maximum likelihood methods. They suggest that the reality of the post-migration urban experience depends on gender, the use of household social networks, proficiency in English, possession of a matric qualification and higher reservation wages.
-
Estimating phytoplankton growth rates from compositional data
… Adding a stochastic component allows me to use maximum likelihood methods of parameter estimation. I lay out the method used to calculate parameter estimates, confidence intervals, and estimated population growth rates, then use a simplified three-stage model to test the efficacy of this method …
-
Phylogeography of Darlingtonea Kentuckensis and Molecular Systematics of Kentucky Cave Trechines
… and Tennessee. Alignments were analyzed using maximum parsimony, Bayesian, and maximum likelihood methods of phylogenetic inference. Comparison of analyses demonstrates conflicting tree topologies among individual markers and different reconstruction methods. Despite a lack of consensus …
-
Penalized Joint Maximum Likelihood Estimation Applied to Two Parameter Logistic Item Response Models
… results. Recently, penalized estimation methods have been developed to analyze data sets that may include more variables than observations. The main focus of this study was to apply LASSO and ridge regression penalization techniques to IRT models in order to better estimate model …
-
Introduction to fast Super-Paramagnetic Clustering
… compared to a modified implementation of a maximum likelihood approach to fast-Super-Paramagnetic Clustering (f-SPC). The methods are first applied standard toy test-case problems, and then to a dataset of 447 stocks traded on the New York Stock Exchange (NYSE) over 1249 days. The signal to …
-
Estimating phytoplankton growth rates from compositional data
… Adding a stochastic component allows me to use maximum likelihood methods of parameter estimation. I lay out the method used to calculate parameter estimates, confidence intervals, and estimated population growth rates, then use a simplified three-stage model to test the efficacy of this method …
-
Statistical inference based on characteristic functions for intractable likelihood problems
… known. We study various statistical inference methods for fitting those processes with implicit characteristic functions. In the first part, an efficient sampling method based on Bayesian empirical likelihood is developed. The method involves pseudo-marginal Markov chain Monte Carlo with …
-
The development of analysis of variance techniques for angular data.
… for one-way classification designs leading to maximum likelihood methods. This approach however, when applied to larger experimental designs is shown to be intractable due to optimization problems. The limited analysis of variance techniques presently available for angular data are reviewed and …
-
An exploration of some aspects of molecular replacement in macromolecular crystallography
… describes the structure of a protein, the methods based on the use of X-rays and computer analysis of diffraction patterns to determine crystal structure, and the subsequent derivation of the structure of part or all of a protein molecule. Work to determine the structure of the protein …
-
Bivariate Doubly Inflated Poisson and Related Regression Models
… estimation by the method of moments and maximum likelihood methods and a comparison of the methods via asymptotic relative efficiency calculations. We also discuss the BDIP regression model that incorporates covariates into the BDIP model. We illustrate applicability of the BDIP …
-
Evolutionary analysis of mammalian genomes and associations to human disease
… rat, chimpanzee and dog) were identified, using maximum likelihood methods. I show that genes under positive selection during human evolution are implicated in diseases such as epithelial cancers, schizophrenia, autoimmune diseases and Alzheimer’s disease. Comparisons of humans with great apes …
-
Investigation of over-fitting and optimism in prognostic models
… model in part through the application of methods to reduce the risk of over-fitting. One method discussed in this work is the strategy proposed by Frank Harrell Jr. The various aspects of Harrell’s approach are discussed. An attempt is made to extend Harrell’s strategy to frailty models. …
-
Parameter Estimation Techniques for Nonlinear Dynamic Models with Limited Data, Process Disturbances and Modeling Errors
In this thesis appropriate statistical methods to overcome two types of problems that occur during parameter estimation in chemical engineering systems are studied. The first problem is having too many parameters to estimate from limited available data, assuming that the model structure is correct, …
-
Using a complex model of sequence evolution to evaluate and improve phylogenetic methods
The performance of phylogenetic methods was evaluated by testing their success in recovering the true tree from computer simulated data. Data were generated on a variety of tree shapes under a complex model of sequence evolution based on the work of Aaron Halpern and William Bruno. Parameters of …
-
Palynological Evidence for the Paleoenvironmental History of the Miocene Llanos Basin, Eastern Colombia
… 22 to 5 My based on the graphic correlation and Maximum likelihood methods. Carbonera and the base of Leon Fms were deposited during the lower Miocene, Leon and Guayabo Fms (units 1, 2 and 3), during the middle Miocene, and the top of Guayabo Fm (units 4, 5) during the upper Miocene. In addition, …
-
A phylogenetic analysis of the Accipitridae (class Aves).
… gene was undertaken. Parsimony, distance and maximum likelihood methods were used to explore the phylogenetic relationships among the Accipitridae. Major findings of the molecular study includes support for the polyphyly of the Kite genera and the sister group relationship of the Osprey …
Page 1 of 2