Infosheet (November 21st, 2017) 
Queen's University  Department of Mathematics and Statistics 
Wednesday, November 22 
Number Theory Seminar Time: 1:30 p.m. Place: Jeffery 319 
Speaker: JungJo Lee Title: Cyclotomic units, values of the Riemann zeta function and padic measures Abstract Attached 
Wednesday, November 22

Special Colloquium Time: 3:30 p.m. Place: Jeffery 234 
Speaker: Jenny Wilson Title: Stability in ordered configuration spaces Abstract Attached 
Thursday, November 23 
Statistics Seminar Time: 2:30 p.m. Place: Jeffery 234 
Speaker: Mike Dowd, Dalhousie University Title: Data Assimilation for Ocean Biology Abstract Attached 
Thursday, November 23 
Seminar in Free Probability and Random Matrices Time: 4:00 p.m. Place: Jeffery 222 
Speaker: PeiLun Tseng, Queenâ€™s University Title: Infinitesimal Laws of noncommutative random variables Abstract Attached 
Friday, November 24 
Ph.D. Thesis Defense Time: 10:00 a.m. Place: Jeffery 521 
Ph.D. Student: Aaron Springford Title: Spectral analysis of time series with latent and irregular times Supervisors: D. Thomson and G. Takahara 
Friday, November 24 
Department Colloquium Time: 2:30 p.m. Place: Jeffery 234 
Speaker: Jeffery Rosenthal, University of Toronto Title: Adaptive MCMC for Everyone Abstract Attached 
Tuesday, November 28 
Biostatistics Seminar Time: 1:00 p.m. Place: Bracken 124 (Health Sciences Library) 
Speaker: Debaraj Sen, Concordia University Title: Inference concerning intraclass correlation for binary responses Abstract Attached 
Items for the Info Sheet should reach Anne ( burnsa@queensu.ca) by noon on Monday. The Info Sheet is published every Tuesday.
Wednesday, November 22, 1:30 p.m. Jeffery 319  Number Theory Seminar
Speaker: JungJo Lee
Title: Cyclotomic units, values of the Riemann zeta function and padic measures
Abstract: I would explain the connection between the cyclotomic units and the values of complex Riemann zeta function via higher logarithmic derivative maps. We can use Mahler transform to construct a padic zeta function.
Note: I consider a series of talks, each "hopefully" selfcontained.
Talk 2 : Euler system of cyclotomic units and Iwasawa's main conjecture
Talk 3 : Euler system of Heegner points and Birch and SwinnertonDyer conjecture
Wednesday, November 22, 3:30 p.m. Jeffery 234  Special Colloquium
Speaker: Jenny Wilson
Title: Stability in ordered configuration spaces
Abstract: The ordered configuration space $F_k(M)$ of a manifold M is the space of ordered ktuples of distinct points in M. For a fixed manifold M, as k increases, we might expect the topology of these configuration spaces to become increasingly complicated. Church and others showed, however, that when M is connected and open, there is a representationtheoretic sense in which these spaces stabilize. In this talk, I will explain these stability patterns, and describe higherorder stability phenomena established in recent work joint with Jeremy Miller. This project was inspired by workinprogress of GalatiusKupersRandalWilliams.
Thursday, November 23, 2:30 p.m. Jeffery 234  Statistics Seminar
Speaker: Michael Dowd
Title: Data Assimilation for Ocean Biology
Abstract: New marine observation technologies and dynamical models are improving our understanding of the ocean. A major challenge is identifying and developing statistical approaches that can efficiently and effectively combine the largescale, nonlinear, spatiotemporocean models (that encapsulate our mechanistic understanding of the system) with the wide variety of available data types (e.g. time series, spatial imagery, timespace transects). This problem is termed data assimilation in the ocean and atmospheric sciences. In this talk, I explore the data assimilation in the context of ocean biology. My focus is mainly on lower trophic levels (the planktonic ecosystem or marine biogeochemistry), but I will also discuss some work with higher trophic levels (fisheries and marine mammals). I argue that Bayesian approaches and state space models provide a unifying framework for state and parameter estimation for such systems, including the treatment of model identification and sampling design. Challenges and potential new statistical directions are emphasized.
Thursday, November 23, 4:00 p.m. Jeffery 222
Seminar in Free Probability and Random Matrices
Speaker: PeiLun Tseng
Title: Infinitesimal Laws of noncommutative random variables
Abstract: In this talk, we will start from an infinitesimal noncommutative probability space, and define the freeness, and additive convolution for infinitesimal laws. Then, we will also establish the relation among type A free convolution, type B free convolution, and infinitesimal free convolution.
Seminar website: http://www.mast.queensu.ca/~mingo/seminar/
Friday, November 24, 2:30 p.m. Jeffery 234  Department Colloquium
Speaker: Jeffery Rosenthal
Title: Adaptive MCMC for Everyone
Abstract: Markov chain Monte Carlo (MCMC) algorithms, such as the Metropolis Algorithm and the Gibbs Sampler, are an extremely useful and popular method of approximately sampling from complicated probability distributions. Adaptive MCMC attempts to automatically modify the algorithm while it runs, to improve its performance on the fly. However, such adaptation often destroys the ergodicity properties necessary for the algorithm to be valid. In this talk, we first illustrate MCMC algorithms using simple graphical Java applets. We then discuss adaptive MCMC, and present examples
and theorems concerning its ergodicity and efficiency. We close with some recent ideas which make adaptive MCMC more widely applicable in broader contexts.
Tuesday, November 28, 1:00 p.m. Bracken 124 (Health Sciences Library)  Biostatistics Seminar
Speaker: Debaraj Sen
Title: Inference concerning intraclass correlation for binary responses
Abstract: In the analysis of several treatment groups for binary outcome data, it is often interesting to determine if the treatments may have stabilizing effects. This inference problem can be done based on the confidence interval for a common intraclass correlation coefficient, and in many applications of epidemiological studies it is preferable by practitioners. Inference procedures concerning the intraclass correlation have been well developed for singlesample problems; little attention has been paid to extend these inference procedures for multiplesample problems. In this talk, we focus on constructing the confidence interval procedures for a common intraclass correlation coefficient of several treatment groups. We compare different approaches with a large sample procedure in terms of coverage and expected length through a simulation study. An application to a solar protection study is used to illustrate the proposed methods.