Sylvia Richardson

发表

Christopher Holmes, Christopher C. Drovandi, James McGree, 2016 .

Two-pronged Strategy for Using DIC to Compare Selection Models with Non-Ignorable Missing Responses

Sylvia Richardson, Alexina J. Mason, Nicky Best, 2012 .

A hierarchical model for space–time surveillance data on meningococcal disease incidence

Sylvia Richardson, Leonhard Knorr-Held, S. Richardson, 2003 .

Utiliser un modµ bay¶ µ effets al¶ partagpour analyser les variations spatiales du risque de maladies µ partir de sources d'information multiples.

Sylvia Richardson, Sophie Ancelet, J J. Abellan, 2009 .

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data

Catalina A. Vallejos, John C. Marioni, Sylvia Richardson, 2015, PLoS Comput. Biol..

Principles of Experimental Design for Big Data Analysis.

Kerrie Mengersen, Sylvia Richardson, Christopher C Drovandi, 2017, Statistical science : a review journal of the Institute of Mathematical Statistics.

In the proceedings of the 14th International Workshop on Statistical Modelling, Graz (Austria) July

Sylvia Richardson, Peter J Green, L Watier, 1999 .

Drug sensitivity prediction with normal inverse Gaussian shrinkage informed by external data

Sylvia Richardson, Gwenaël G R Leday, Mark A van de Wiel, 2020, Biometrical journal. Biometrische Zeitschrift.

Reply to Robert et al.: Model criticism informs model choice and model comparison

Christophe Andrieu, Carsten Wiuf, Sylvia Richardson, 2009, Proceedings of the National Academy of Sciences.

A Global-Local Approach for Detecting Hotspots in Multiple-Response Regression.

Anthony C. Davison, Sylvia Richardson, Leonardo Bottolo, 2018, The annals of applied statistics.

Some Themes in High-Dimensional Statistics

Marina Vannucci, Peter Bühlmann, Sylvia Richardson, 2016 .

Safe preselection in lasso-type problems by cross-validation freezing

Sylvia Richardson, Arnoldo Frigessi, Ingrid K. Glad, 2012 .

JAM: A Scalable Bayesian Framework for Joint Analysis of Marginal SNP Effects

Sylvia Richardson, Paul J. Newcombe, David V. Conti, 2016, Genetic epidemiology.

Model Selection for Generalized Linear Models via GLIB, with Application to Epidemiology

Adrian E. Raftery, Sylvia Richardson, S. Richardson, 1993 .

BaySTDetect: detecting unusual temporal patterns in small area data via Bayesian model choice.

Guangquan Li, Ismaïl Ahmed, Sylvia Richardson, 2012, Biostatistics.

EPISPOT: An epigenome-driven approach for detecting and interpreting hotspots in molecular QTL studies

Sylvia Richardson, Chris Wallace, Leonardo Bottolo, 2020, bioRxiv.

The Future of Data Science

Sylvia Richardson, Sach Mukherjee, S. Richardson, 2020, 2.3.

Markov Chain Monte Carlo in Practice

Sylvia Richardson, David Spiegelhalter, Walter R. Gilks, 1997 .

Bayesian model comparison via jump diffusions

Walter R. Gilks, Sylvia Richardson, David Spiegelhalter, 1995 .

ontologyX: a suite of R packages for working with ontological data

Ernest Turro, Sylvia Richardson, Daniel Greene, 2016, Bioinform..

Introducing Markov chain Monte Carlo

David J. Spiegelhalter, Sylvia Richardson, Walter R. Gilks, 1995 .

BGX: a Bioconductor package for the Bayesian integrated analysis of Affymetrix GeneChips

Anne-Mette K. Hein, Ernest Turro, Sylvia Richardson, 2007, BMC Bioinformatics.

Bayesian hierarchical models in ecological studies of health–environment effects

Sylvia Richardson, Nicky Best, S. Richardson, 2003 .

Bayesian hierarchical models for small area data with applications in social science

Guangquan Li, Sylvia Richardson, Nicky Best, 2011 .

Data Mining Cancer Registries: Retrospective Surveillance of Small Area Time Trends in Cancer Incidence Using BaySTDetect

Guangquan Li, Ismaïl Ahmed, Sylvia Richardson, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Discussant: Sylvia Richardson

Sylvia Richardson, S. Richardson, 2005 .

Bayesian profile regression with an application to the National Survey of Children's Health.

Sylvia Richardson, Michail Papathomas, John Molitor, 2010, Biostatistics.

Using Likelihood-Free Inference to Compare Evolutionary Dynamics of the Protein Networks of H. pylori and P. falciparum

Carsten Wiuf, Michael P. H. Stumpf, Sylvia Richardson, 2007, PLoS Comput. Biol..

Detection of gene copy number changes in CGH microarrays using a spatially correlated mixture model

Sylvia Richardson, Philippe Broët, 2006, Bioinform..

sdef: an R package to synthesize lists of significant features in related experiments

Sylvia Richardson, Alberto Cassese, Marta Blangiardo, 2010, BMC Bioinformatics.

Use of Space–Time Models to Investigate the Stability of Patterns of Disease

Sylvia Richardson, Nicky Best, J. J. Abellán, 2008, Environmental health perspectives.

Using Bayesian graphical models to model biases in observational studies and to combine multiple sources of data: application to low birth weight and water disinfection by‐products

Sylvia Richardson, Nicky Best, Nuoo-Ting Molitor, 2009 .

Estimation and optimization of functions

Sylvia Richardson, David Spiegelhalter, Walter R. Gilks, 1995 .

A Bayesian calibration model for combining different pre-processing methods in Affymetrix chips

Sylvia Richardson, Marta Blangiardo, S. Richardson, 2008, BMC Bioinformatics.

Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014

Marina Vannucci, Sylvia Richardson, Arnoldo Frigessi, 2016 .

Stochastic EM: method and application

Sylvia Richardson, David J. Spiegelhalter, Walter R. Gilks, 1995 .

Benefit of Bayesian Clustering of Longitudinal Data: Study of Cognitive Decline for Precision Medicine

Sylvia Richardson, Brian Tom, Anaïs Rouanet, 2020 .

Evolutionary Stochastic Search for Bayesian model exploration

Sylvia Richardson, Leonardo Bottolo, S. Richardson, 2010, 1002.2706.

Statistical properties of sketching algorithms

William J. Astle, Daniel Ahfock, Sylvia Richardson, 2017, Biometrika.

A mixture model-based strategy for selecting sets of genes in multiclass response microarray experiments

Alex Lewin, Sylvia Richardson, Philippe Broët, 2004, Bioinform..

High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking

Sylvia Richardson, Fan Wang, Sach Mukherjee, 2018, Statistics and Computing.

Fully Bayesian Mixture Model for Differential Gene Expression: Simulations and Model Checks

Sylvia Richardson, Natalia Bochkina, Alex Lewin, 2007, Statistical applications in genetics and molecular biology.

Whole-genome sequencing of patients with rare diseases in a national health system

Keith W. Muir, William J. Astle, Mark I. McCarthy, 2020, Nature.

MCMC methods for Bayesian variable selection in binary classification in the "large p, small n" paradigm

Sylvia Richardson, Manuela Zucknick, 2006 .

Sampling from Dirichlet process mixture models with unknown concentration parameter: mixing issues in large data implementations

Sylvia Richardson, Silvia Liverani, David I. Hastie, 2013, Statistics and Computing.

Distributed Computation for Marginal Likelihood based Model Choice

Daniel Ahfock, Alexander Buchholz, Sylvia Richardson, 2019, Bayesian Analysis.

Markov chain concepts related to sampling algorithms

Sylvia Richardson, David J. Spiegelhalter, Walter R. Gilks, 1995 .

Bayesian mapping of disease

Sylvia Richardson, David Spiegelhalter, Walter R. Gilks, 1995 .

Space–time variability in burglary risk: A Bayesian spatio-temporal modelling approach

Robert Haining, Guangquan Li, Sylvia Richardson, 2014 .

MCMC for nonlinear hierarchical models

Walter R. Gilks, David J. Spiegelhalter, Sylvia Richardson, 1995 .

A powerful method for detecting differentially expressed genes from GeneChip arrays that does not require replicates

Anne-Mette K. Hein, Sylvia Richardson, S. Richardson, 2006, BMC Bioinformatics.

Bayesian Hierarchical Model for Identifying Changes in Gene Expression from Microarray Experiments

Sylvia Richardson, Philippe Broët, François Radvanyi, 2002, J. Comput. Biol..

A comparison of Bayesian spatial models for disease mapping

Sylvia Richardson, Nicky Best, Andrew Thomson, 2005, Statistical methods in medical research.

Fast Bayesian inference in large Gaussian graphical models

Sylvia Richardson, Gwenaël G R Leday, S. Richardson, 2018, Biometrics.

New Insights into the Genetic Control of Gene Expression using a Bayesian Multi-tissue Approach

Matthias Heinig, Sylvia Richardson, Enrico Petretto, 2010, PLoS Comput. Biol..

Monte Carlo algorithms for model assessment via conflicting summaries

Sylvia Richardson, Pierre Pudlo, Christian Robert, 2011, 1106.5919.

Eliciting expert opinion about missing data in longitudinal studies

Sylvia Richardson, Ian Plewis, S. Richardson, 2011 .

Inference and monitoring convergence

Sylvia Richardson, David J. Spiegelhalter, Walter R. Gilks, 1995 .

PReMiuM: An R Package for Profile Regression Mixture Models Using Dirichlet Processes.

Sylvia Richardson, Michail Papathomas, Silvia Liverani, 2013, Journal of statistical software.

Hypothesis testing and model selection

Walter R. Gilks, David J. Spiegelhalter, Sylvia Richardson, 1995 .

Bayesian spatio-temporal analysis of joint patterns of male and female lung cancer risks in Yorkshire (UK)

Sylvia Richardson, Nicky Best, J. J. Abellán, 2006, Statistical methods in medical research.

MCMC in image analysis

Walter R. Gilks, David J. Spiegelhalter, Sylvia Richardson, 1995 .

Model checking and model improvement

Walter R. Gilks, David J. Spiegelhalter, Sylvia Richardson, 1995 .

Introduction to general state-space Markov chain theory

Walter R. Gilks, David J. Spiegelhalter, Sylvia Richardson, 1995 .

Bayesian shared spatial‐component models to combine and borrow strength across sparse disease surveillance sources

Sylvia Richardson, J. J. Abellán, Sophie Ancelet, 2012, Biometrical journal. Biometrische Zeitschrift.

Kernel learning approaches for summarising and combining posterior similarity matrices

Paul D. W. Kirk, Sylvia Richardson, Alessandra Cabassi, 2020, 2009.12852.

Exploring dependence between categorical variables: Benefits and limitations of using variable selection within Bayesian clustering in relation to log-linear modelling with interaction terms

Sylvia Richardson, Michail Papathomas, S. Richardson, 2014, Journal of statistical planning and inference.

Model Selection for Generalized Linear Models via GLIB:Application to Nutrition and Breast Cancer

Adrian E. Raftery, Sylvia Richardson, S. Richardson, 2018, Bayesian Biostatistics.

Evaluating the No Cold Calling Zones in Peterborough, England: Application of a Novel Statistical Method for Evaluating Neighbourhood Policing Policies

Robert Haining, Guangquan Li, Sylvia Richardson, 2013 .

Stochastic search variable selection

Sylvia Richardson, David J. Spiegelhalter, Walter R. Gilks, 1995 .

BaySTDetect: Detecting unusual temporal patterns in small area disease rates using Bayesian posterior model probabilities

Guangquan Li, Sylvia Richardson, Nicky Best, 2012 .

BGX: a fully Bayesian integrated approach to the analysis of Affymetrix GeneChip data.

Anne-Mette K. Hein, Sylvia Richardson, Peter J Green, 2005, Biostatistics.

Identifying Cell Types from Spatially Referenced Single-Cell Expression Datasets

John C. Marioni, Sylvia Richardson, Raju Tomer, 2014, PLoS Comput. Biol..

Model criticism based on likelihood-free inference, with an application to protein network evolution

Christophe Andrieu, Carsten Wiuf, Sylvia Richardson, 2009, Proceedings of the National Academy of Sciences.

Improving ecological inference using individual‐level data

Sylvia Richardson, Nicky Best, Christopher Jackson, 2006, Statistics in medicine.

Hierarchical priors for bias parameters in Bayesian sensitivity analysis for unmeasured confounding

Sylvia Richardson, Lawrence C McCandless, Paul Gustafson, 2012, Statistics in medicine.

Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic Exploration

Sylvia Richardson, Ingrid K. Glad, Arnoldo Frigessi, 2016 .

Using ecological propensity score to adjust for missing confounders in small area studies

Yingbo Wang, Sylvia Richardson, Marta Blangiardo, 2016, Biostatistics.

Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables

Sylvia Richardson, Paul D W Kirk, Magdalena E Strauss, 2021, Journal of the Royal Statistical Society Series C: Applied Statistics.

Interoperability of statistical models in pandemic preparedness: principles and reality.

Yee Whye Teh, Peter J. Diggle, Tor Erlend Fjelde, 2021, Statistical science : a review journal of the Institute of Mathematical Statistics.

On randomized sketching algorithms and the Tracy–Widom law

William J. Astle, Daniel Ahfock, Sylvia Richardson, 2022, Statistics and Computing.

BayesSUR: An R Package for High-Dimensional Multivariate Bayesian Variable and Covariance Selection in Linear Regression

Alex Lewin, Sylvia Richardson, Manuela Zucknick, 2021, J. Stat. Softw..

Sylvia Richardson, Ernest Turro, Daniel Greene, 2016, American journal of human genetics.

Equivalence of prospective and retrospective models in the Bayesian analysis of case-control studies

Sylvia Richardson, Shaun R. Seaman, 2004 .

Ecological bias: use of maximum-entropy approximations

Noel A Cressie, Sylvia Richardson, Isabelle Jaussent, 2004 .

An archaeological example: radiocarbon dating

Walter R. Gilks, Sylvia Richardson, David Spiegelhalter, 1995 .

Statistical tools for synthesizing lists of differentially expressed features in related experiments

Sylvia Richardson, Marta Blangiardo, S. Richardson, 2007, Genome Biology.

Bayesian Detection of Expression Quantitative Trait Loci Hot Spots

Sylvia Richardson, Enrico Petretto, Leonardo Bottolo, 2011, Genetics.

MMBGX: a method for estimating expression at the isoform level and detecting differential splicing using whole-transcript Affymetrix arrays

Alex Lewin, Sylvia Richardson, Margaret J. Dallman, 2009, Nucleic acids research.

Bayesian hierarchical models in ecological studies

Sylvia Richardson, Chris Jackson, Nicky Best, 2005 .

Spatio-temporal patterns of bladder cancer incidence in Utah (1973-2004) and their association with the presence of toxic release inventory sites

Sylvia Richardson, Linda Beale, J. J. Abellán, 2011, International journal of health geographics.

Dissection of a Complex Disease Susceptibility Region Using a Bayesian Stochastic Search Approach to Fine Mapping

Sylvia Richardson, Nikolas Pontikos, Stephen J Sawcer, 2015, bioRxiv.

Using gaussian mixtures with unknownnumber of components for mixed

Sylvia Richardson, Peter J Green, modelestimationLaurence Watier, 1999 .

Discussion on the meeting on ‘Statistical modelling and analysis of genetic data’

Terence P. Speed, Peter Donnelly, Dirk Husmeier, 2002 .

Discussion on the paper by Spiegelhalter, Best, Carlin and van der Linde

Aki Vehtari, Christian P. Robert, Matilde Trevisani, 2002 .

A semi-parametric approach to estimate risk functions associated with multi-dimensional exposure profiles: application to smoking and lung cancer

Sylvia Richardson, Silvia Liverani, Lamiae Azizi, 2013, BMC Medical Research Methodology.

Bayesian analysis of the multivariate geographical distribution of the socio‐economic environment in England

Sylvia Richardson, Nicky Best, David Briggs, 2007 .

Bayesian Methods for Microarray Data

Sylvia Richardson, S. Richardson, A. Lewin, 2008 .

Exploring Data From Genetic Association Studies Using Bayesian Variable Selection and the Dirichlet Process: Application to Searching for Gene × Gene Patterns

Sylvia Richardson, Michail Papathomas, John Molitor, 2012, Genetic epidemiology.

Spatial Linear Models with Autocorrelated Error Structure

Sylvia Richardson, S. Richardson, C. Guihenneuc, 1992 .

Human phenotype ontology annotation and cluster analysis to unravel genetic defects in 707 cases with unexplained bleeding and platelet disorders

Sylvia Richardson, Augusto Rendon, Sjoert B. G. Jansen, 2015, Genome Medicine.

Evaluating Neighbourhood Policing using Bayesian Hierarchical Models: No Cold Calling in Peterborough, England

Robert Haining, Guangquan Li, Sylvia Richardson, 2011 .

Transcriptional diversity during lineage commitment of human blood progenitors

Randy J. Read, William J. Astle, Paul Flicek, 2014, Science.

Using statistical models to identify factors that have a role in defining the abundance of ions produced by tandem MS.

Sylvia Richardson, John C Whittaker, Sheila J Barton, 2007, Analytical chemistry.

Supplemental Material for Bayesian Modelling of Difierential Gene Expression

Alex Lewin, Sylvia Richardson, Clare Marshall, 2005 .

A Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures

William J. Astle, Sylvia Richardson, David Stephens, 2011, 1105.2204.

Bayesian Statistics Small Area Estimation

Guangquan Li, Philip Clarke, Virgilio Gómez-Rubio, 2010 .

A Bayesian model of time activity data to investigate health effect of air pollution in time series studies

Sylvia Richardson, Marta Blangiardo, Anna Hansell, 2011 .

Inference from ecological models: estimating the relative risk of stroke from air pollution exposure using small area data.

Robert Haining, Guangquan Li, Sylvia Richardson, 2010, Spatial and spatio-temporal epidemiology.

Dynamics of the Risk of Smoking-Induced Lung Cancer: A Compartmental Hidden Markov Model for Longitudinal Analysis

Paolo Vineis, Sylvia Richardson, Marc Chadeau-Hyam, 2014, Epidemiology.

Phenotypic Characterization of EIF2AK4 Mutation Carriers in a Large Cohort of Patients Diagnosed Clinically With Pulmonary Arterial Hypertension

Fengyuan Hu, Kevin Rue-Albrecht, Patrick Deegan, 2017, Circulation.

A Fast Association Test for Identifying Pathogenic Variants Involved in Rare Diseases

Sylvia Richardson, Ernest Turro, Daniel Greene, 2017, American journal of human genetics.

Bayesian analysis of case-control studies with categorical covariates

Sylvia Richardson, Shaun R. Seaman, S. Richardson, 2001 .

Statistical Applications in Genetics and Molecular Biology False Discovery Rate Estimation for Stability Selection : Application to Genome-Wide Association Studies

Sylvia Richardson, Marjo-Riitta Järvelin, Anna-Liisa Hartikainen, 2012 .

Using Bayesian graphical models to model biases in observational studies and to combine multiple data sources: Application to low birth-weight and water disinfection by-products

Sylvia Richardson, S. Richardson, S. Richardson, 2008 .

Insights into the use of Bayesian models for informative missing data

Sylvia Richardson, Alexina J. Mason, Nicky Best, 2008 .

Whole genome sequencing of a sporadic primary immunodeficiency cohort

Antonis Pantazis, Keith W. Muir, David J. Williams, 2020, Nature.

Statistical Applications in Genetics and Molecular Biology Comparing the Characteristics of Gene Expression Profiles Derived by Univariate and Multivariate Classification Methods

Sylvia Richardson, Manuela Zucknick, Euan A Stronach, 2011 .

Adjustment for Missing Confounders Using External Validation Data and Propensity Scores

Sylvia Richardson, Nicky Best, Lawrence C. McCandless, 2012 .

Statistical Methods in Integrative Genomics.

George C Tseng, Sylvia Richardson, Wei Sun, 2016, Annual review of statistics and its application.

Bayesian non‐parametric models for spatially indexed data of mixed type

Sylvia Richardson, Nicky Best, Georgios Papageorgiou, 2014, 1408.1368.

Gibbs sampling methods in genetics

Walter R. Gilks, Sylvia Richardson, David Spiegelhalter, 1995 .

Modelling of an Epidemiological Time Series by a Threshold Autoregressive Model

Sylvia Richardson, S. Richardson, L. Watier, 1995 .

A Bayesian analysis of the impact of air pollution episodes on cardio-respiratory hospital admissions in the Greater London area

Sylvia Richardson, Marta Blangiardo, John Gulliver, 2011, Statistical methods in medical research.

Aircraft noise and cardiovascular disease near Heathrow airport in London: small area study

Sylvia Richardson, Linda Beale, Helga E Laszlo, 2014, BMJ : British Medical Journal.

A dominant gain-of-function mutation in universal tyrosine kinase SRC causes thrombocytopenia, myelofibrosis, bleeding, and bone pathologies

Sylvia Richardson, Kathleen Stirrups, Wendy N. Erber, 2016, Science Translational Medicine.

A gain-of-function variant in DIAPH1 causes dominant macrothrombocytopenia and hearing loss.

William J. Astle, Sylvia Richardson, Kathleen Stirrups, 2016, Blood.

Full conditional distributions

Walter R. Gilks, Sylvia Richardson, David Spiegelhalter, 1995 .

Examining the Joint Effect of Multiple Risk Factors Using Exposure Risk Profiles: Lung Cancer in Nonsmokers

Paolo Vineis, Sylvia Richardson, Michail Papathomas, 2010, Environmental health perspectives.

De Novo Truncating Mutations in WASF1 Cause Intellectual Disability with Seizures

Henning Gall, Fengyuan Hu, Kevin Rue-Albrecht, 2018, American journal of human genetics.