All Stories

  1. A linear time method for the detection of collective and point anomalies
  2. Testing for a change in mean after changepoint detection
  3. Innovative and Additive Outlier Robust Kalman Filtering With a Robust Particle Filter
  4. Subset Multivariate Collective and Point Anomaly Detection
  5. A computationally efficient, high‐dimensional multiple changepoint procedure with application to global terrorism incidence
  6. Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise
  7. Stochastic Gradient Markov Chain Monte Carlo
  8. Quasi‐stationary Monte Carlo and the ScaLE algorithm
  9. Semi-automated simultaneous predictor selection for regression-SARIMA models
  10. BayesProject: Fast computation of a projection direction for multivariate changepoint detection
  11. Motor unit number estimation via sequential Monte Carlo
  12. Relating and comparing methods for detecting changes in mean
  13. Parallelisation of a Common Changepoint Detection Method
  14. The Zig-Zag process and super-efficient sampling for Bayesian analysis of big data
  15. Fast nonconvex deconvolution of calcium imaging data
  16. sgmcmc: An R Package for Stochastic Gradient Markov Chain Monte Carlo
  17. Detecting changes in slope in a noisy signal observed over time.
  18. Control variates for stochastic gradient MCMC
  19. Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo
  20. Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains
  21. Particle Filters and Data Assimilation
  22. How to detect recent structural breaks
  23. Convergence of regression-adjusted approximate Bayesian computation
  24. On the asymptotic efficiency of approximate Bayesian computation estimators
  25. Changepoint Detection in the Presence of Outliers
  26. Bayesian Detection of Abnormal Segments in Multiple Time Series
  27. Computationally Efficient Changepoint Detection for a Range of Penalties
  28. Particle Approximations of the Score and Observed Information Matrix for Parameter Estimation in State–Space Models With Linear Computational Cost
  29. What's wrong with the Knowledge Gradient for Multi-Armed Bandits and how to fix it.
  30. Particle Metropolis-adjusted Langevin algorithms
  31. A computationally efficient nonparametric approach for changepoint detection
  32. On optimal multiple changepoint algorithms for large data
  33. Augmentation schemes for particle MCMC
  34. Estimating the relative rate of recombination to mutation in bacteria from single-locus variants using composite likelihood methods
  35. Tractable diffusion and coalescent processes for weakly correlated loci
  36. Bayesian Sequential Experimental Design for Binary Response Data with Application to Electromyographic Experiments
  37. Classification of non-stationary time series
  38. Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments
  39. Inference for reaction networks using the linear noise approximation
  40. Semi-automatic selection of summary statistics for ABC model choice
  41. Particle Learning Approach to Bayesian Model Selection: An Application from Neurology
  42. C ampylobacter jejuni colonization and population structure in urban populations of ducks and starlings in N ew Z ealand
  43. An Adaptive Sequential Monte Carlo Sampler
  44. Optimal Detection of Changepoints With a Linear Computational Cost
  45. Markov Chain Monte Carlo for Exact Inference for Diffusions
  46. Estimating the Relative Roles of Recombination and Point Mutation in the Generation of Single Locus Variants in Campylobacter jejuni and Campylobacter coli
  47. Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation
  48. Particle learning methods for state and parameter estimation
  49. Whole-Genome Comparison of Two Campylobacter jejuni Isolates of the Same Sequence Type Reveals Multiple Loci of Different Ancestral Lineage
  50. On Estimating the Ability of NBA Players
  51. Random-weight particle filtering of continuous time processes
  52. A sequential smoothing algorithm with linear computational cost
  53. Calculating Strength of Schedule, and Choosing Teams for March Madness
  54. The Random Walk Metropolis: Linking Theory and Practice Through a Case Study
  55. Spatio-temporal epidemiology of Campylobacter jejuni enteritis, in an area of Northwest England, 2000–2002
  56. Efficient Bayesian analysis of multiple changepoint models with dependence across segments
  57. Bayesian Analysis of Isochores
  58. Editorial: Special issue on adaptive Monte Carlo methods
  59. Rapid Evolution and the Importance of Recombination to the Gastroenteric Pathogen Campylobacter jejuni
  60. Tracing the Source of Campylobacteriosis
  61. Particle filters for partially observed diffusions
  62. Computational methods for complex stochastic systems: a review of some alternatives to MCMC
  63. Filtering Methods for Mixture Models
  64. On the Choice of Genetic Distance in Spatial-Genetic Studies
  65. On-line inference for multiple changepoint problems
  66. Postprocessing of Genealogical Trees
  67. Genome-wide association study of prostate cancer identifies a second risk locus at 8q24
  68. Correction
  69. An exact Gibbs sampler for the Markov-modulated Poisson process
  70. Perfect Simulation From Nonneutral Population Genetic Models: Variable Population Size and Population Subdivision
  71. The stationary distribution of allele frequencies when selection acts at unlinked loci
  72. SequenceLDhot: detecting recombination hotspots
  73. Exact and computationally efficient likelihood-based estimation for discretely observed diffusion processes (with discussion)
  74. Exact and efficient Bayesian inference for multiple changepoint problems
  75. A Comparison of Three Estimators of the Population-Scaled Recombination Rate: Accuracy and Robustness
  76. Maximum-Likelihood Estimation of Coalescence Times in Genealogical Trees
  77. Using Random Quasi-Monte-Carlo Within Particle Filters, With Application to Financial Time Series
  78. A Novel Method with Improved Power To Detect Recombination Hotspots from Polymorphism Data Reveals Multiple Hotspots in Human Genes
  79. Spatial epidemiology and natural population structure of Campylobacter jejuni colonizing a farmland ecosystem
  80. Analysis of Recombination in Campylobacter jejuni from MLST Population Data
  81. Exact Bayesian curve fitting and signal segmentation
  82. Direct simulation for discrete mixture distributions
  83. A Second-Order Approximation to the Log-Likelihood Surface for Mixture Models, With Application to the EM Algorithm
  84. Application of Coalescent Methods to Reveal Fine-Scale Rate Variation and Recombination Hotspots
  85. Exact filtering for partially observed continuous time models
  86. Filtering recursions for calculating likelihoods for queues based on inter-departure time data
  87. Particle filters for mixture models with an unknown number of components
  88. On-line inference for hidden Markov models via particle filters
  89. Consistency of estimators of the population-scaled recombination rate
  90. Haplotypes: the joint distribution of alleles at linked loci
  91. Ancestral processes for non-neutral models of complex diseases
  92. Markov chain Monte Carlo, Sufficient Statistics, and Particle Filters
  93. Approximate likelihood methods for estimating local recombination rates
  94. Discussion on the meeting on 'Statistical modelling and analysis of genetic data'
  95. The common ancestor at a nonneutral locus
  96. Perfect Simulation from Population Genetic Models with Selection
  97. Improved particle filter for nonlinear problems
  98. Analysis of changepoint models