'Maximum likelihood methods' presentation slideshows

Phylogeny of Mixture Models

839 views • 65 slides

5. Tax Reform in Practice

5. Tax Reform in Practice. 5.1 Micro-Simulation of Tax Reform 5.2 Flat Tax Reform: The Case of Germany 5.3 Literature. Taxation Economics: Short Account of Tenth Lecture.

733 views • 61 slides

Experimental crosses

Experimental crosses. Inbred Strain Cross. Backcross. F2 cross. Generation. F0. F1. F2. 1400. 1200. 1000. 800. Phenotype. 600. 400. 200. 0. 0.5. AA. AB. BB. Experimental crosses. Inbred strain crosses Recombinant inbreds Alternatives. F 0 Parental Generation.

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731 views • 46 slides

Distance Methods

Distance Methods. Distance Methods. Distance Estimates attempt to estimate the mean number of changes per site since 2 species (sequences) split from each other

571 views • 33 slides

Estimating Volatilities and Correlations

Estimating Volatilities and Correlations. Chapter 21. Standard Approach to Estimating Volatility . Define s n as the volatility per day on day n , as estimated at end of day n - 1 Define S i as the value of market variable at end of day i

545 views • 29 slides

Inferring phylogenetic trees: Maximum likelihood methods

Inferring phylogenetic trees: Maximum likelihood methods. Prof. William Stafford Noble Department of Genome Sciences Department of Computer Science and Engineering University of Washington thabangh@gmail.com. One-minute responses. First part of class was fine. I am struggling with Python.

1.08k views • 26 slides

An illustration of the use of reparameterisation methods for improving MCMC efficiency in crossed random effect models.

An illustration of the use of reparameterisation methods for improving MCMC efficiency in crossed random effect models. William J. Browne School of Mathematical Sciences, University of Nottingham. Talk Summary. Wytham woods great tit dataset. Cross-classified random effect models.

445 views • 25 slides

An illustration of the use of reparameterisation methods for improving MCMC efficiency in crossed random effect models.

An illustration of the use of reparameterisation methods for improving MCMC efficiency in crossed random effect models. William J. Browne School of Mathematical Sciences, University of Nottingham. Talk Summary. Wytham woods great tit dataset. Cross-classified random effect models.

409 views • 25 slides

Introduction to logistic regression

Introduction to logistic regression. When and why to use Logistic Regression?. The response variable has to be binary or ordinal. Predictors can be continuous, discrete, or combinations of variables. Predictors do not have to be normally distributed

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BINF6201/8201 Molecular phylogenetic methods 1 11-01-2011

BINF6201/8201 Molecular phylogenetic methods 1 11-01-2011. Phylogenetics. According to the evolutionary theory, all life forms on this planet are related to one another by descent. Traditionally, phylogenetics is the study of the evolutionary relationships of a group of organisms.

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Molecular Phylogenetics

362 views • 13 slides

Fixed vs. Random Effects

Fixed vs. Random Effects. Fixed effect we are interested in the effects of the treatments (or blocks) per se if the experiment were repeated, the levels would be the same conclusions apply to the treatment (or block) levels that were tested treatment (or block) effects sum to zero

948 views • 13 slides

Introduction to Maximum Likelihood Methods For Ecology

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0.1

Neighbor Joining. Maximum Likelihood. BrARF1. BrARF1. 99. 69. BrARF2-1. BrARF2-1. 58. BrARF2-2. BrARF2-2. 100. 98. BrARF2-3. 51. BrARF2-3. Group I. Group I. BrARF9-1. BrARF9-1. 100. 100. BrARF9-2. BrARF9-2. 99. 98. 54. BrARF24. BrARF11. 69. 97. BrARF25.

125 views • 2 slides