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Browsing Mathematics and Statistics by Author "Goddard, Scott"

Now showing items 1-10 of 10

Analyzing tree distribution and abundance in Yukon-Charley Rivers National Preserve: developing geostatistical Bayesian models with count data

Winder, Samantha (2018-05)

Species distribution models (SDMs) describe the relationship between where a species occurs and underlying environmental conditions. For this project, I created SDMs for the five tree species that occur in Yukon-Charley ...
An application of an integrated population model: estimating population size of the Fortymile caribou herd using limited data

Inokuma, Megumi (2017-05)

An Integrated Population Model (IPM) was employed to estimate the population size of the Fortymile Caribou herd (FCH), utilizing multiple types of biological data. Current population size estimates of the FCH are made by ...
An application of Bayesian variable selection to international economic data

Tian, Xiang (2017-06)

GDP plays an important role in people's lives. For example, when GDP increases, the unemployment rate will frequently decrease. In this project, we will use four different Bayesian variable selection methods to verify ...
Bayesian predictive process models for historical precipitation data of Alaska and southwestern Canada

Vanney, Peter (2016-05)

In this paper we apply hierarchical Bayesian predictive process models to historical precipitation data using the spBayes R package. Classical and hierarchical Bayesian techniques for spatial analysis and modeling require ...
Edge detection using Bayesian process convolutions

Lang, Yanda (2017-05)

This project describes a method for edge detection in images. We develop a Bayesian approach for edge detection, using a process convolution model. Our method has some advantages over the classical edge detector, Sobel ...
Extending the Lattice-Based Smoother using a generalized additive model

Rakhmetova, Gulfaya (2017-12)

The Lattice Based Smoother was introduced by McIntyre and Barry (2017) to estimate a surface defined over an irregularly-shaped region. In this paper we consider extending their method to allow for additional covariates ...
Gaussian process convolutions for Bayesian spatial classification

Best, John K. (2016-05)

We compare three models for their ability to perform binary spatial classification. A geospatial data set consisting of observations that are either permafrost or not is used for this comparison. All three use an underlying ...
Reliability analysis of reconstructing phylogenies under long branch attraction conditions

Dissanayake, Ranjan (2018-05)

In this simulation study we examined the reliability of three phylogenetic reconstruction techniques in a long branch attraction (LBA) situation: Maximum Parsimony (M P), Neighbor Joining (NJ), and Maximum Likelihood. Data ...
Statistical analysis of species tree inference

Dajles, Andres (2016-05)

It is known that the STAR and USTAR algorithms are statistically consistent techniques used to infer species tree topologies from a large set of gene trees. However, if the set of gene trees is small, the accuracy of STAR ...
Testing multispecies coalescent simulators with summary statistics

Baños Cervantes, Hector Daniel (2018-12)

The Multispecies coalescent model (MSC) is increasingly used in phylogenetics to describe the formation of gene trees (depicting the direct ancestral relationships of sampled lineages) within species trees (depicting the ...

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Browsing Mathematics and Statistics by Author "Goddard, Scott"

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