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## Characterizing Uncertainty of Future Climate Change Projections using Hierarchical Bayesian Models *

*Claudia Tebaldi, Bruno Sansó, and Richard L. Smith*

### in Bayesian Statistics 9

- Published in print:
- 2011
- Published Online:
- January 2012
- ISBN:
- 9780199694587
- eISBN:
- 9780191731921
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199694587.003.0021
- Subject:
- Mathematics, Probability / Statistics

The use of projections from ensembles of climate models to characterize fu ture climate change at regional scales has become the most widely adopted framework, as opposed to what was standard ... More

## Surviving fully Bayesian nonparametric regression models

*Timothy E. Hanson and Alejandro Jara*

### in Bayesian Theory and Applications

- Published in print:
- 2013
- Published Online:
- May 2013
- ISBN:
- 9780199695607
- eISBN:
- 9780191744167
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199695607.003.0030
- Subject:
- Mathematics, Probability / Statistics

This chapter compares two Bayesian nonparametric models that generalize the accelerated failure time model, based on recent work on probability models for predictor-dependent probability ... More

## Approximate marginalization over modelling errors and uncertainties in inverse problems

*Jari Kaipio and Ville Kolehmainen*

### in Bayesian Theory and Applications

- Published in print:
- 2013
- Published Online:
- May 2013
- ISBN:
- 9780199695607
- eISBN:
- 9780191744167
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199695607.003.0032
- Subject:
- Mathematics, Probability / Statistics

This chapter discusses the so-called approximation error approach, which was originally meant to model numerical model reduction only. The approach is based on a number of consecutive approximations ... More

## Flexible Bayesian modelling for clustered categorical responses in developmental toxicology

*Kottas Athanasios and Fronczyk Kassandra*

### in Bayesian Theory and Applications

- Published in print:
- 2013
- Published Online:
- May 2013
- ISBN:
- 9780199695607
- eISBN:
- 9780191744167
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199695607.003.0005
- Subject:
- Mathematics, Probability / Statistics

Developmental toxicity studies investigate birth defects caused by toxic chemicals. This chapter develops a Bayesian nonparametric modelling approach for risk assessment in developmental toxicity ... More

## Revisiting Bayesian curve fitting using multivariate normal mixtures ∗

*Stephen G Walker and George Karabatsos*

### in Bayesian Theory and Applications

- Published in print:
- 2013
- Published Online:
- May 2013
- ISBN:
- 9780199695607
- eISBN:
- 9780191744167
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199695607.003.0015
- Subject:
- Mathematics, Probability / Statistics

This chapter develops a Bayesian nonparametric regression model which relies on a standard Bayesian nonparametric form for the joint distribution of both the dependent and independent variables. The ... More

## Prediction of Clinical Outcomes from Genome-wide Data

*Shyam Visweswaran*

### in Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics

- Published in print:
- 2014
- Published Online:
- December 2014
- ISBN:
- 9780198709022
- eISBN:
- 9780191779619
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198709022.003.0017
- Subject:
- Mathematics, Probability / Statistics, Biostatistics

Prognosis is an essential tool in medicine for estimating the likely outcomes of a disease and for preventing it. The traditional approach relies on measuring physiological and environmental ... More

## Semi-supervised classification of texts using particle learning for probabilistic automata

*ANA PAULA SALES, CHRISTOPHER CHALLIS, RYAN PRENGER, and DANIEL MERL*

### in Bayesian Theory and Applications

- Published in print:
- 2013
- Published Online:
- May 2013
- ISBN:
- 9780199695607
- eISBN:
- 9780191744167
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199695607.003.0012
- Subject:
- Mathematics, Probability / Statistics

This chapter presents a novel online learning system for classification of email texts based on particle learning for composite mixture models involving probabilistic automata. The composite mixture ... More

## Real-valued Random Processes

*Arno Berger and Theodore P. Hill*

### in An Introduction to Benford's Law

- Published in print:
- 2015
- Published Online:
- October 2017
- ISBN:
- 9780691163062
- eISBN:
- 9781400866588
- Item type:
- chapter

- Publisher:
- Princeton University Press
- DOI:
- 10.23943/princeton/9780691163062.003.0008
- Subject:
- Mathematics, Probability / Statistics

Benford's law arises naturally in a variety of stochastic settings, including products of independent random variables, mixtures of random samples from different distributions, and iterations of ... More

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