Inference for Change-Point and Related Processes

Inference for Change-Point and Related Processes's image
Created: 2014-01-02 10:05
Institution: Isaac Newton Institute for Mathematical Sciences
Description: In many applications data is collected over time or can be ordered with respect to some other criteria (e.g. position along a chromosome). Often the statistical properties, such as mean or variance, of the data will change along data. This feature of data is known as non-stationarity. An important and challenging problem is to be able to model and infer how these properties change. Examples occur in environmental applications (e.g. detecting changes in ecological systems due to climatic conditions crossing some critical thresholds), signal processing (e.g. structural analysis of EEG signals), epidemiology (e.g. early detection of hospital infections from changes in patient’s antibody levels), bioinformatics (e.g. detecting changes in copy number variation), and finance (e.g. changing volatility). As technology advances, and ever larger and complex data are collected, the need to model changes in the statistical properties of the data, and the difficulty of making inference for these models increases.

Read more at www.newton.ac.uk/programmes/ICP/
 

Media items

This collection contains 49 media items.

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Media items

A primal dual method for inverse problems in MRI with non-linear forward operators

   276 views

Valkonen, T (University of Cambridge)
Friday 07 February 2014, 14:30-15:00

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 14 Feb 2014


Adaptive Spectral Estimation for Nonstationary Time Series

   123 views

Stoffer, D (University of Pittsburgh)
Friday 17 January 2014, 11:30-12:15

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 24 Jan 2014


An algorithm to segment count data using a binomial negative model

   132 views

Rigaill, G (INRA-CNRS-Université d'Evry Val d'Essonne, URGV)
Thursday 16 January 2014, 10:00-10:30

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 24 Jan 2014


An Automated Statistician which learns Bayesian nonparametric models of time series data

   182 views

Ghahramani, Z (University of Cambridge)
Thursday 16 January 2014, 14:15-15:00

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 24 Jan 2014


Analysis of time series observed on networks

   186 views

Nunes, M (Lancaster University)
Wednesday 15 January 2014, 09:30-10:00

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 22 Jan 2014


Applications of Change-Points Methods in Brain Signal and Image Analysis

   316 views

Ombao, H (University of California, Irvine)
Wednesday 05 February 2014, 11:30-12:30

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 12 Feb 2014


Bayesian inference in continuous time jump processes

   138 views

Godsill, S (University of Cambridge)
Thursday 16 January 2014, 13:30-14:15

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 24 Jan 2014


Change-point detection and analysis

   224 views

Siegmund, D (Stanford University)
Monday 13 January 2014, 14:00-15:00

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 15 Jan 2014


Change-point tests based on estimating functions

   139 views

Kirch, C (Karlsruhe Institute of Technology)
Wednesday 15 January 2014, 13:30-14:00

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 22 Jan 2014


Computationally Efficient Algorithms for Detecting Changepoints

   128 views

Fearnhead, P (Lancaster University)
Thursday 16 January 2014, 09:30-10:00

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 24 Jan 2014


Decentralized Quickest Change Detection in Hidden Markov Models for Sensor Networks

   114 views

Fuh, C-D (National Central University, Taiwan)
Wednesday 15 January 2014, 10:00-10:30

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 22 Jan 2014


Detecting copy number variants for rare genetic disorders and non-invasive pre-natal diagnosis

   170 views

Plagnol, V (University College London)
Tuesday 04 February 2014, 11:30-12:30

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 12 Feb 2014


Detecting smooth changes in locally stationary processes

   111 views

Vogt, M (University of Konstanz)
Tuesday 14 January 2014, 09:30-10:00

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 22 Jan 2014


Detection and Exploitation of Nonstationarities in Time Series Data

   193 views

Nason, G (University of Bristol)
Monday 13 January 2014, 15:30-16:30

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 15 Jan 2014


Detection of Genomic Signals by Resequencing

   146 views

Siegmund, D (Stanford University)
Monday 03 February 2014, 11:30-12:30

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 11 Feb 2014


Detection of multiple structural breaks in multivariate time series

   115 views

Dette, H (Ruhr-Universität Bochum)
Tuesday 14 January 2014, 14:50-15:30

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 22 Jan 2014


Exact Bayesian inference for change point models with application to genomics

   172 views

Robin, S (INRA - Institut National de la Recherche Agronomique)
Monday 03 February 2014, 14:00-15:00

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 12 Feb 2014


Graph-Based Change-Point Detection

   141 views

Chen, H (University of California, Davis)
Tuesday 21 January 2014, 11:30-12:30

Collection: Inference for Change-Point and Related Processes

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 3 Feb 2014


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