P. Fearnhead

发表

On‐line inference for multiple changepoint problems

P. Fearnhead, Z. Liu, 2007 .

Improved particle filter for nonlinear problems

P. Fearnhead, J. Carpenter, P. Clifford, 1999 .

Optimal detection of changepoints with a linear computational cost

P. Fearnhead, Rebecca Killick, I. Eckley, 2011, 1101.1438.

Filtering recursions for calculating likelihoods for queues based on inter-departure time data

Paul Fearnhead, P. Fearnhead, 2004, Stat. Comput..

Random‐weight particle filtering of continuous time processes

P. Fearnhead, G. Roberts, O. Papaspiliopoulos, 2010 .

An improved particle filter for non-linear problems

P. Fearnhead, J. Carpenter, P. Clifford, 1999 .

Markov chain Monte Carlo, Sufficient Statistics, and Particle Filters

P. Fearnhead, 2002 .

Analysis of changepoint models.

P. Fearnhead, Rebecca Killick, I. Eckley, 2011 .

Efficient Online Inference for Multiple Changepoint Problems

P. Fearnhead, Z. Liu, 2006, 2006 IEEE Nonlinear Statistical Signal Processing Workshop.

On‐line inference for hidden Markov models via particle filters

P. Fearnhead, P. Clifford, 2003 .

A sequential smoothing algorithm with linear computational cost.

P. Fearnhead, D. Wyncoll, J. Tawn, 2010 .

Genome-wide association study of prostate cancer identifies a second risk locus at 8q24

P. Fearnhead, W. Willett, M. Thun, 2007, Nature Genetics.

Particle filters for mixture models with an unknown number of components

Paul Fearnhead, P. Fearnhead, 2004, Stat. Comput..

MCMC, sufficient statistics and particle filters.

P. Fearnhead, 2002 .

Using Random Quasi-Monte-Carlo Within Particle Filters, With Application to Financial Time Series

P. Fearnhead, 2005 .

Estimating recombination rates from population genetic data.

P. Donnelly, P. Fearnhead, P. Donnelly, 2001, Genetics.

Building Robust Simulation-based Filters for Evolving Data Sets

P. Fearnhead, J. Carpenter, Peter Cliffordy, 2007 .

Particle filters for partially observed diffusions

P. Fearnhead, G. Roberts, O. Papaspiliopoulos, 2007, 0710.4245.

A Comparison of Three Estimators of the Population-Scaled Recombination Rate: Accuracy and Robustness

P. Fearnhead, N. Smith, 2005, Genetics.

Control variates for stochastic gradient MCMC

Christopher Nemeth, Paul Fearnhead, Emily B. Fox, 2017, Statistics and Computing.

A coalescent-based method for detecting and estimating recombination from gene sequences.

P. Fearnhead, G. McVean, P. Awadalla, 2002, Genetics.

Approximate likelihood methods for estimating local recombination rates

P. Donnelly, P. Fearnhead, 2002 .

A novel method with improved power to detect recombination hotspots from polymorphism data reveals multiple hotspots in human genes.

P. Fearnhead, N. Smith, 2005, American journal of human genetics.

Particle Metropolis-adjusted Langevin algorithms

P. Fearnhead, C. Sherlock, C. Nemeth, 2014, 1412.7299.

ON COMPOSITE LIKELIHOODS IN STATISTICAL GENETICS

Fabrice Larribe, P. Fearnhead, P. Fearnhead, 2011 .

Particle Metropolis adjusted Langevin algorithms for state-space models

P. Fearnhead, C. Nemeth, 2014, 1402.0694.

Chapter 1 MCMC for State Space Models

P. Fearnhead, 2008 .

Computational Methods for Complex Stochastic Systems : Alternatives to MCMC

P. Fearnhead, 2007 .

An exact Gibbs sampler for the Markov‐modulated Poisson process

P. Fearnhead, C. Sherlock, 2006 .

Detecting Changes in Slope With an L0 Penalty

Adam N. Letchford, P. Fearnhead, A. Letchford, 2017, Journal of Computational and Graphical Statistics.

Computationally Efficient Changepoint Detection for a Range of Penalties

P. Fearnhead, I. Eckley, K. Haynes, 2017 .

Rapid Evolution and the Importance of Recombination to the Gastroenteric Pathogen Campylobacter jejuni

Daniel J. Wilson, P. Fearnhead, P. Diggle, 2008, Molecular biology and evolution.

Tracing the Source of Campylobacteriosis

Daniel J. Wilson, P. Fearnhead, P. Diggle, 2008, PLoS genetics.

Testing for a change in mean after changepoint detection

P. Fearnhead, D. Witten, S. Jewell, 2019, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data

P. Fearnhead, T. Hocking, G. Bourque, 2018, J. Stat. Softw..

A log-linear time algorithm for constrained changepoint detection

P. Fearnhead, T. Hocking, G. Bourque, 2017, 1703.03352.

Efficient penalty search for multiple changepoint problems

P. Fearnhead, I. Eckley, K. Haynes, 2014, 1412.3617.

Exact filtering for partially observed continuous time models

P. Fearnhead, Loukia Meligkotsidou, 2004 .

Inference for reaction networks using the linear noise approximation

Paul Fearnhead, Chris Sherlock, P. Fearnhead, 2012, Biometrics.

Title : The random walk Metropolis : linking theory and practice through a case study Year of publication : 2009

P. Fearnhead, G. Roberts, C. Sherlock, 2009 .

Filtering Methods for Mixture Models

Loukia Meligkotsidou, Paul Fearnhead, P. Fearnhead, 2007 .

Particle Filtering for Diffusions Avoiding Time-Discretisations

P. Fearnhead, G. Roberts, O. Papaspiliopoulos, 2006, 2006 IEEE Nonlinear Statistical Signal Processing Workshop.

The Zig-Zag process and super-efficient sampling for Bayesian analysis of big data

P. Fearnhead, G. Roberts, J. Bierkens, 2016, The Annals of Statistics.

Asymptotics of ABC

Paul Fearnhead, P. Fearnhead, 2017, Handbook of Approximate Bayesian Computation.

Filtering systems of coupled stochastic differential equations partially observed at high frequency

P. Fearnhead, G. Roberts, O. Papaspiliopoulos, 2007 .

Exact and computationally efficient likelihood‐based estimation for discretely observed diffusion processes (with discussion)

P. Fearnhead, G. Roberts, O. Papaspiliopoulos, 2006 .

Comment on Article by Wyse et al.

P. Fearnhead, 2011 .

Particle Approximations of the Score and Observed Information Matrix for Parameter Estimation in State–Space Models With Linear Computational Cost

P. Fearnhead, C. Nemeth, L. Mihaylova, 2013, 1306.0735.

Augmentation schemes for particle MCMC

Loukia Meligkotsidou, Paul Fearnhead, P. Fearnhead, 2014, Stat. Comput..

TRACTABLE DIFFUSION AND COALESCENT PROCESSES FOR WEAKLY CORRELATED LOCI.

Paul A. Jenkins, Yun S. Song, P. Fearnhead, 2014, Electronic journal of probability.

TRACTABLE STOCHASTIC MODELS OF EVOLUTION FOR LOOSELY LINKED LOCI

Paul A. Jenkins, Yun S. Song, P. Fearnhead, 2014 .

Maximum-Likelihood Estimation of Coalescence Times in Genealogical Trees

P. Fearnhead, Loukia Meligkotsidou, 2005, Genetics.

Continuously-Tempered PDMP Samplers

P. Fearnhead, R. Salomone, Matthew Sutton, 2022, 2205.09559.

Continuously-Tempered PDMP Samplers

P. Fearnhead, R. Salomone, Matthew Sutton, 2022, 2205.09559.

A linear time method for the detection of collective and point anomalies

Alexander T. M. Fisch, P. Fearnhead, I. Eckley, 2022, Stat. Anal. Data Min..

Estimating the relative rate of recombination to mutation in bacteria from single-locus variants using composite likelihood methods

P. Fearnhead, B. Holland, N. French, 2014, 1411.1200.

Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC2

P. Fearnhead, B. Rowlingson, C. Jewell, 2022, Journal of the Royal Statistical Society Series C: Applied Statistics.

Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection

P. Fearnhead, I. Eckley, Kes Ward, 2022, Journal of the American Statistical Association.

Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics

P. Fearnhead, I. Eckley, G. Rigaill, 2021, J. Mach. Learn. Res..

Consistency of a range of penalised cost approaches for detecting multiple changepoints

P. Fearnhead, I. Eckley, Chaowen Zheng, 2019, Electronic Journal of Statistics.

Online non-parametric changepoint detection with application to monitoring operational performance of network devices

P. Fearnhead, I. Eckley, G. Romano, 2022, Comput. Stat. Data Anal..

cpop: Detecting Changes in Piecewise-Linear Signals

P. Fearnhead, D. Grose, 2022, Journal of Statistical Software.

Detecting A Single Change-point

P. Fearnhead, P. Fryzlewicz, 2022, 2210.07066.

HAPLOTYPES: THE JOINT DISTRIBUTION

P. Fearnhead, 2003 .

HAPLOTYPES: THE JOINT DISTRIBUTION

P. Fearnhead, 2003 .

High-dimensional time series segmentation via factor-adjusted vector autoregressive modelling

P. Fearnhead, I. Eckley, Haeran Cho, 2022, 2204.02724.

Approximating optimal SMC proposal distributions in individual-based epidemic models

P. Fearnhead, C. Jewell, Lorenzo Rimella, 2022, 2206.05161.

Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes

P. Fearnhead, J. Tawn, F. Laurini, 2022, Statistics and Computing.

Semi-automatic Approximate Bayesian Computation

Paul Fearnhead, Dennis Prangle, P. Fearnhead, 2010 .

Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes

P. Fearnhead, J. Tawn, F. Laurini, 2022, Statistics and Computing.

The Scalable Langevin Exact Algorithm : Bayesian Inference for Big Data

P. Fearnhead, A. M. Johansen, G. Roberts, 2016 .

Control variates for stochastic gradient MCMC

P. Fearnhead, E. Fox, Jack Baker, 2018, Statistics and Computing.

Quasi‐stationary Monte Carlo and the ScaLE algorithm

Paul Fearnhead, Adam M. Johansen, Gareth O. Roberts, 2016, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

A computationally efficient nonparametric approach for changepoint detection

P. Fearnhead, I. Eckley, K. Haynes, 2016, Statistics and Computing.

Constructing summary statistics for approximate Bayesian computation: semi‐automatic approximate Bayesian computation

Paul Fearnhead, Dennis Prangle, P. Fearnhead, 2012 .

Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise

Paul Fearnhead, Guillem Rigaill, Gaetano Romano, 2020, Journal of the American Statistical Association.

Computational methods for complex stochastic systems: a review of some alternatives to MCMC

Paul Fearnhead, P. Fearnhead, 2008, Stat. Comput..

Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo

Paul Fearnhead, Joris Bierkens, Murray Pollock, 2016, Statistical Science.

Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains

P. Fearnhead, A. Doucet, G. Roberts, 2017, 1701.04244.

Improving Power by Conditioning on Less in Post-selection Inference for Changepoints

P. Fearnhead, Rachel Carrington, 2023, 2301.05636.

Subset Multivariate Collective and Point Anomaly Detection

Paul Fearnhead, Idris A. Eckley, Alexander T. M. Fisch, 2019, J. Comput. Graph. Stat..

Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection in Genomic Data

Paul Fearnhead, Guillaume Bourque, Toby Dylan Hocking, 2020, J. Mach. Learn. Res..

Relating and comparing methods for detecting changes in mean

Paul Fearnhead, Guillem Rigaill, P. Fearnhead, 2020, Stat.

Fast nonconvex deconvolution of calcium imaging data.

Paul Fearnhead, Daniela M Witten, Toby Dylan Hocking, 2018, Biostatistics.

A computationally efficient nonparametric approach for changepoint detection

Paul Fearnhead, Idris A. Eckley, Kaylea Haynes, 2016, Statistics and Computing.

On optimal multiple changepoint algorithms for large data

Paul Fearnhead, Toby Hocking, Robert Maidstone, 2014, Statistics and Computing.

Exact and efficient Bayesian inference for multiple changepoint problems

Paul Fearnhead, P. Fearnhead, 2006, Stat. Comput..

Postprocessing of Genealogical Trees

P. Fearnhead, Loukia Meligkotsidou, 2007, Genetics.

Running Head : Post-processing of Genealogies

P. Fearnhead, Loukia Meligkotsidou, 2022 .

Model Choice and Robustness in Population Genetics Final Report on Epsrc Grant Gr/r91724/01 (pi: 2 Main Achievements

P. Fearnhead, 2022 .

Bayesian Analysis of Isochores

Paul Fearnhead, P. Fearnhead, Despina Vasileiou, 2009 .

Parallelization of a Common Changepoint Detection Method

S. O. Tickle, I. A. Eckley, P. Fearnhead, 2018, Journal of Computational and Graphical Statistics.

A linear time method for the detection of point and collective anomalies pdf

Paul Fearnhead, Alexander T. M. Fisch, Alexander Tristan Maximilian Fisch, 2018, ArXiv.

Ecient Analysis of Complex Changepoint Models

Adam N. Letchford, Paul Fearnhead, Robert Maidstone, 2012 .

Evolution of Campylobacter Species in New Zealand

P. Fearnhead, B. Holland, N. French, 2014 .

Genome-wide association study of prostate cancer identifies a second risk locus at 8q24. Yeager M, Orr N, Hayes RB, Jacobs KB, Kraft

Paul Fearnhead, Brian Staats, Stephen J. Chanock, 2007 .

Bioinformatics Original Paper Sequenceldhot: Detecting Recombination Hotspots

Paul Fearnhead, P. Fearnhead, 2022 .

Application of Coalescent Methods to Reveal Fine-Scale Rate Variation and Recombination Hotspots

Peter Donnelly, Paul Fearnhead, Simon Myers, 2004, Genetics.

The Random Walk Metropolis: Linking Theory and Practice Through a Case Study

P. Fearnhead, G. Roberts, C. Sherlock, 2010, 1011.6217.

Consistency of estimators of the population-scaled recombination rate.

Paul Fearnhead, P. Fearnhead, 2003, Theoretical population biology.

estimating recombination from gene sequences

Paul Fearnhead, Philip Awadalla, P. Fearnhead, 2001 .

Analysis of Recombination in Campylobacterjejuni from MLST Population Data

Nigel French, Paul Fearnhead, P. Fearnhead, 2005, Journal of Molecular Evolution.

Ancestral processes for non-neutral models of complex diseases.

Paul Fearnhead, P. Fearnhead, 2003, Theoretical population biology.

Perfect simulation from population genetic models with selection.

P. Fearnhead, 2001, Theoretical population biology.

Campylobacter jejuni colonization and population structure in urban populations of ducks and starlings in New Zealand

P. Fearnhead, B. Holland, N. French, 2013, MicrobiologyOpen.

On the Choice of Genetic Distance in Spatial-Genetic Studies

P. Fearnhead, 2007, Genetics.

Perfect Simulation From Nonneutral Population Genetic Models: Variable Population Size and Population Subdivision

Paul Fearnhead, P. Fearnhead, 2006, Genetics.

The stationary distribution of allele frequencies when selection acts at unlinked loci.

Paul Fearnhead, P. Fearnhead, 2006, Theoretical population biology.

Perfect Simulation from Non-neutral Population Genetic Models : Variable Population Size and Population sub-division

P. Fearnhead, 2008 .

Semi-automated simultaneous predictor selection for regression-SARIMA models

Paul Fearnhead, Kjeld Jensen, Matthew Nunes, 2020, Statistics and Computing.

Spatial epidemiology and natural population structure of Campylobacter jejuni colonizing a farmland ecosystem.

P. Fearnhead, N. French, N. Williams, 2005, Environmental microbiology.

An Adaptive Sequential Monte Carlo Sampler

Paul Fearnhead, Benjamin M. Taylor, P. Fearnhead, 2010, 1005.1193.

Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments

Christopher Nemeth, Lyudmila Mihaylova, Paul Fearnhead, 2014, IEEE Transactions on Signal Processing.

The common ancestor at a nonneutral locus

P. Fearnhead, 2002, Journal of Applied Probability.

Bearings-only tracking with particle filtering for joint parameter learning and state estimation

Christopher Nemeth, Lyudmila Mihaylova, Paul Fearnhead, 2012, 2012 15th International Conference on Information Fusion.

Changepoint Detection in the Presence of Outliers

Paul Fearnhead, Guillem Rigaill, P. Fearnhead, 2016, Journal of the American Statistical Association.

MCMC for State–Space Models

Paul Fearnhead, P. Fearnhead, 2011 .

Efficient Bayesian analysis of multiple changepoint models with dependence across segments

Zhen Liu, Paul Fearnhead, P. Fearnhead, 2009, Stat. Comput..

Random-weight particle filtering of continuous time

Andrew M. Stuart, Paul Fearnhead, Gareth O. Roberts, 2010 .

Approximating Optimal SMC Proposal Distributions in Individual-Based Epidemic Models

P. Fearnhead, C. Jewell, Lorenzo Rimella, 2022, Statistica Sinica.

Markov Chain Monte Carlo for Exact Inference for Diffusions

Paul Fearnhead, Gareth O. Roberts, Omiros Papaspiliopoulos, 2011, 1102.5541.

Particle Filters and Data Assimilation

Paul Fearnhead, Hans Kunsch, P. Fearnhead, 2017, 1709.04196.

Whole-Genome Comparison of Two Campylobacter jejuni Isolates of the Same Sequence Type Reveals Multiple Loci of Different Ancestral Lineage

P. Fearnhead, N. French, P. Biggs, 2011, PloS one.

A computationally efficient, high‐dimensional multiple changepoint procedure with application to global terrorism incidence

P. Fearnhead, I. Eckley, S. Tickle, 2020, Journal of the Royal Statistical Society: Series A (Statistics in Society).

Stochastic Gradient Markov Chain Monte Carlo

Christopher Nemeth, Paul Fearnhead, P. Fearnhead, 2019, Journal of the American Statistical Association.

Bayes Linear Methods for Large-Scale Network Search

Paul Fearnhead, Nedialko B. Dimitrov, Lisa Turner, 2016, 1608.00794.

Journal of Quantitative Analysis in Sports On Estimating the Ability of NBA Players

Paul Fearnhead, Benjamin M. Taylor, P. Fearnhead, 2011 .

Augmentation schemes for particle MCMC

P. Fearnhead, Loukia Meligkotsidou, 2015, Statistics and Computing.

On the Asymptotic Efficiency of Approximate Bayesian Computation Estimators

Paul Fearnhead, P. Fearnhead, Wentao Li, 2015, 1506.03481.

Motor unit number estimation via sequential Monte Carlo

Paul Fearnhead, Simon Taylor, Chris Sherlock, 2018, Comput. Stat. Data Anal..

gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection

P. Fearnhead, T. Hocking, F. Afghah, 2020, J. Stat. Softw..

Constructing Summary Statistics for Approximate Bayesian Computation: Semi-automatic ABC

Paul Fearnhead, Dennis Prangle, P. Fearnhead, 2010, 1004.1112.

Semi-automatic selection of summary statistics for ABC model choice

Paul Fearnhead, Dennis Prangle, Patrick J Biggs, 2013, Statistical applications in genetics and molecular biology.

High-dimensional time series segmentation via factor-adjusted vector autoregressive modelling

P. Fearnhead, I. Eckley, Haeran Cho, 2022, Journal of the American Statistical Association.

Optimal detection of changepoints with a linear computational cost

P. Fearnhead, Rebecca Killick, I. Eckley, 2011, 1101.1438.

Innovative and Additive Outlier Robust Kalman Filtering With a Robust Particle Filter

Idris A. Eckley, P. Fearnhead, Alexander T. M. Fisch, 2020, IEEE Transactions on Signal Processing.

Collective Anomaly Detection in High-Dimensional Var Models

P. Fearnhead, I. Eckley, Hyeyoung Maeng, 2021, Statistica Sinica.

anomaly: Detection of Anomalous Structure in Time Series Data

Paul Fearnhead, Idris A. Eckley, Daniel Grose, 2020, 2010.09353.

Automatic Change-Point Detection in Time Series via Deep Learning

P. Fearnhead, P. Fryzlewicz, Jie Li, 2022, ArXiv.

sgmcmc: An R Package for Stochastic Gradient Markov Chain Monte Carlo

Christopher Nemeth, Paul Fearnhead, Emily B. Fox, 2017, Journal of Statistical Software.

Stochastic gradient Markov chain Monte

P. Fearnhead, Carlo, C. Nemeth, 2019 .

Exact Bayesian curve fitting and signal segmentation

Paul Fearnhead, P. Fearnhead, 2005, IEEE Transactions on Signal Processing.

A Log-Linear Non-Parametric Online Changepoint Detection Algorithm based on Functional Pruning

P. Fearnhead, I. Eckley, Gaetano Romano, 2023, IEEE Transactions on Signal Processing.

A Constant-per-Iteration Likelihood Ratio Test for Online Changepoint Detection for Exponential Family Models

P. Fearnhead, I. Eckley, Kes Ward, 2023, 2302.04743.

BayesProject: Fast computation of a projection direction for multivariate changepoint detection

Paul Fearnhead, Georg Hahn, Idris A. Eckley, 2020, Statistics and Computing.

Semiparametric detection of changepoints in location, scale, and copula

P. Fearnhead, I. Eckley, Gaurav Agarwal, 2023, Stat. Anal. Data Min..

Concave-Convex PDMP-based sampling

Paul Fearnhead, Matthew Sutton, P. Fearnhead, 2021, Journal of Computational and Graphical Statistics.

On optimal multiple changepoint algorithms for large data

P. Fearnhead, T. Hocking, R. Maidstone, 2016, Statistics and Computing.

Stochastic Gradient MCMC for Nonlinear State Space Models pdf

Christopher Nemeth, Paul Fearnhead, Emily B. Fox, 2019, Bayesian Analysis.

Continious-time Importance Sampling: Monte Carlo Methods which Avoid Time-discretisation Error

Paul Fearnhead, Gareth O. Roberts, Giorgos Sermaidis, 2017, 1712.06201.

Bearings-Only Tracking with Joint Parameter Learning and State Estimation

Paul Fearnhead, Christopher Nemeth, P. Fearnhead, 2012 .

SequenceLDhot: detecting recombination hotspots

P. Fearnhead, 2006, Bioinform..

Gamma-Ray Burst Detection with Poisson-FOCuS and Other Trigger Algorithms

P. Fearnhead, I. Eckley, A. Vacchi, 2023, The Astrophysical Journal.

Convergence of regression‐adjusted approximate Bayesian computation

Paul Fearnhead, P. Fearnhead, Wentao Li, 2016, 1609.07135.

Improved Convergence of Regression Adjusted Approximate Bayesian Computation

Paul Fearnhead, P. Fearnhead, Wentao Li, 2016 .

Quasi‐stationary Monte Carlo and the ScaLE algorithm

P. Fearnhead, A. M. Johansen, G. Roberts, 2016, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

A communication-efficient, online changepoint detection method for monitoring distributed sensor networks

P. Fearnhead, I. Eckley, Ziyang Yang, 2024, Stat. Comput..

Improving Power by Conditioning on Less in Post-selection Inference for Changepoints

P. Fearnhead, Rachel Carrington, 2023, 2301.05636.

Automatic Change-Point Detection in Time Series via Deep Learning

P. Fearnhead, P. Fryzlewicz, Jie Li, 2022, Journal of the Royal Statistical Society Series B: Statistical Methodology.

Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring

Paul Fearnhead, Idris A. Eckley, Martin Tveten, 2020, The Annals of Applied Statistics.

Most Recent Changepoint Detection in Panel Data

Martin Spott, Paul Fearnhead, Idris A. Eckley, 2016, Technometrics.

Inference for reaction networks using the linear noise approximation

P. Fearnhead, C. Sherlock, V. Giagos, 2012, Biometrics.

Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes

P. Fearnhead, J. Tawn, F. Laurini, 2022, Statistics and Computing.

Evaluation of extremal properties of GARCH(p,q) processes

P. Fearnhead, J. Tawn, F. Laurini, 2019, 1908.06835.