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Seminars (ICPW01)

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Event When Speaker Title Presentation Material
ICPW01 13th January 2014
11:30 to 12:30
R Dahlhaus Locally Stationary Processes - An Overview
ICPW01 13th January 2014
14:00 to 15:00
D Siegmund Change-point detection and analysis
ICPW01 13th January 2014
15:30 to 16:30
G Nason Detection and Exploitation of Nonstationarities in Time Series Data
ICPW01 14th January 2014
09:30 to 10:00
M Vogt Detecting smooth changes in locally stationary processes
ICPW01 14th January 2014
10:00 to 10:30
M Fiecas Modeling the Evolution of Neurophysiological Signals
ICPW01 14th January 2014
10:30 to 11:00
G Motta Robust estimation of time-varying correlations
ICPW01 14th January 2014
11:30 to 12:15
A Munk Multiscale Change Point Inference
ICPW01 14th January 2014
13:30 to 14:10
P Fryzlewicz Wild Binary Segmentation for multiple change-point detection
ICPW01 14th January 2014
14:10 to 14:50
Q Yao High Dimensional Stochastic Regression with Latent Factors,Endogeneity and Nonlinearity
ICPW01 14th January 2014
14:50 to 15:30
H Dette Detection of multiple structural breaks in multivariate time series
ICPW01 14th January 2014
16:00 to 16:30
Z Zhou Heteroscedasticity and Autocorrelation Robust Structural Change Detection
ICPW01 14th January 2014
16:30 to 17:00
G Peskir Optimal Detection of a Hidden Target
ICPW01 15th January 2014
09:30 to 10:00
M Nunes Analysis of time series observed on networks
ICPW01 15th January 2014
10:00 to 10:30
C-D Fuh Decentralized Quickest Change Detection in Hidden Markov Models for Sensor Networks
ICPW01 15th January 2014
10:30 to 11:00
Z Harchaoui Nonparametric change-point detection with sparse alternatives
ICPW01 15th January 2014
11:30 to 12:15
S Olhede Modelling multivariate nonstationarity
ICPW01 15th January 2014
13:30 to 14:00
C Kirch Change-point tests based on estimating functions
ICPW01 15th January 2014
14:00 to 14:30
C-Y Yau Inference for multiple change-points in time series via likelihood ratio scan statistics
ICPW01 15th January 2014
14:30 to 15:00
M Eichler Non-stationary functional time series: an application to electricity supply and demand
ICPW01 15th January 2014
15:30 to 16:00
N Pavlidis High-Dimensional Incremental Divisive Clustering under Population Drift
ICPW01 15th January 2014
16:00 to 16:30
T Heaton Shape smoothing (and what I hope to get from the Newton change-point program)
ICPW01 15th January 2014
16:30 to 17:00
K Szajowski Precision of Disorders Detection
ICPW01 16th January 2014
09:30 to 10:00
P Fearnhead Computationally Efficient Algorithms for Detecting Changepoints
ICPW01 16th January 2014
10:00 to 10:30
G Rigaill An algorithm to segment count data using a binomial negative model
ICPW01 16th January 2014
10:30 to 11:00
A Aue Simultaneous break point detection and variable selection in quantile regression models
ICPW01 16th January 2014
11:30 to 12:15
J-M Freyermuth Constructing adaptive interference-reduced Wigner-Ville spectral estimators of non-stationary time series
ICPW01 16th January 2014
13:30 to 14:15
S Godsill Bayesian inference in continuous time jump processes
ICPW01 16th January 2014
14:15 to 15:00
Z Ghahramani An Automated Statistician which learns Bayesian nonparametric models of time series data
ICPW01 16th January 2014
15:30 to 15:50
F Lindner Local moving Fourier based bootstrapping
ICPW01 16th January 2014
15:50 to 16:10
M Little Inferring change points in signal levels through deterministic minimization of a generalized global functional
ICPW01 16th January 2014
16:10 to 16:30
AM Sykulski Locally-stationary modelling of oceanographic spatiotemporal data
ICPW01 17th January 2014
09:30 to 10:15
J-P Vert The group fused Lasso for multiple change-point detection
ICPW01 17th January 2014
10:15 to 11:00
A Tartakovsky Quickest Changepoint Detection: Optimality Properties of the Shiryaev-Roberts-Type Procedures
ICPW01 17th January 2014
11:30 to 12:15
D Stoffer Adaptive Spectral Estimation for Nonstationary Time Series
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons