105904
Self-avoiding walks on graphs and groups
2017-01-25
15:10:00
16:00:00
3:10
4 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
776
Probability Seminar
Secondary
The problem of self-avoiding walks (SAWs) arose in statistical mechanics in the 1940s, and has connections to probability, combinatorics, and the geometry of groups. The basic question is to count SAWs. The so-called 'connective constant' is the exponential growth rate of the number of n-step SAWs. We summarise joint work with Zhongyang Li concerned with the question of how the connective...
Geoffrey Grimmett
Cambridge University
Statistics, Department of
Happening As Scheduled
105755
A Bayesian Multivariate Functional Dynamic Linear Model
2017-01-25
16:00:00
17:00:00
4
5 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
773
Neyman Seminar
Secondary
I will present a Bayesian approach for modeling multivariate, dependent functional data. To account for the three dominant structural features in the data--functional, time dependent, and multivariate components--we extend hierarchical dynamic linear models for multivariate time series to the functional data setting. We also develop Bayesian spline theory in a more general constrained...
Daniel Kowal
Cornell University
Statistics, Department of
Happening As Scheduled
105754
Delineating Protein Transportation Processes: Hierarchical Models for Single-Molecule Data
2017-01-30
16:00:00
17:00:00
4
5 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
773
Neyman Seminar
Secondary
Single-molecule experiments investigate the kinetics of individual molecules and thus can substantially enhance our understandings of various organisms. Analyzing data from single-molecule experiments poses a number of challenges: (a) the inherent stochasticity of molecules is usually buried in random experimental noise; (b) single-molecule behavior can be highly volatile. For both of these...
Yang Chen
Department of Statistics, Harvard University
Statistics, Department of
Happening As Scheduled
106206
Up-down Markov chains on partitions and their diffusion analogs
2017-02-01
15:10:00
16:00:00
3:10
4 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
776
Probability Seminar
Secondary
A popular family of models of random partitions is called the Chinese Restaurant Process. We imagine n customers being seated randomly and sequentially at tables of a restaurant according to a fixed stochastic rule. Counting customers by the tables gives us a composition of n. Consider a Markov chain on such compositions where we remove a randomly chosen customer and reseat her. How can one...
Soumik Pal
Univ. of Washington
Statistics, Department of
Happening As Scheduled
106207
Hyperfinite Markov Processes
2017-02-08
15:10:00
16:00:00
3:10
4 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
776
Probability Seminar
Secondary
I will start by giving a short introduction on Nonstandard Analysis and Nonstandard Probability Theory. Then I will introduce the concept of Hyperfinite Markov processes.
Haosui Duanmu
Speaker
Haosui Duanmu, Department of Statistics, University of Toronto,
Statistics, Department of
Happening As Scheduled