Archive for CANSSI
CANSSI HSC seminar series
Posted in Statistics, University life with tags CANSSI, disclosure risk, HSSC, multiple imputation, University of Alberta, University of Saskatchewan, webinar, Zoom on January 19, 2022 by xi'anCANSSI on HMMs
Posted in Statistics, University life with tags Canada, CANSSI, hidden Markov models, INCASS, Scotland, University of Edinburgh, webinar on September 21, 2020 by xi'anThe Canadian Statistical Sciences Institute/Institut canadien des sciences statistiques is launching a series of on-line seminars, held once a month. With journal clubs to prepare the seminar and with student-only meetings with the speakers after each seminar.
Seminars will be broadcast live on the fourth Thursday of the month from 1-2:15 pm Eastern time (18 GMT+2). Students will meet virtually with the speaker from 2:30-3:30 pm Eastern time. Talks in the fall will focus on Hidden Markov Models, starting on Thursday, September 24, 2020 with Ruth King of the University of Edinburgh.
distributions for parameters [seminar]
Posted in Books, Statistics, University life with tags Bayesian paradigm, BFF4, Canada, CANSSI, confidence distribution, COPSS Award, fiducial inference, foundations, frequentist inference, Nancy Reid, National Academy of Science, seminar, Université Paris Dauphine, University of Toronto on January 22, 2018 by xi'an
Nancy Reid is University Professor of Statistical Sciences and the Canada Research Chair in Statistical Theory and Applications at the University of Toronto and internationally acclaimed statistician, as well as a 2014 Fellow of the Royal Society of Canada. In 2015, she received the Order of Canada, was elected a foreign associate of the National Academy of Sciences in 2016 and has been awarded many other prestigious statistical and science honours, including the Committee of Presidents of Statistical Societies (COPSS) Award in 1992.
Nancy Reid’s research focuses on finding more accurate and efficient methods to deduce and conclude facts from complex data sets to ultimately help scientists find specific solutions to specific problems.
There is currently some renewed interest in developing distributions for parameters, often without relying on prior probability measures. Several approaches have been proposed and discussed in the literature and in a series of “Bayes, fiducial, and frequentist” workshops and meeting sessions. Confidence distributions, generalized fiducial inference, inferential models, belief functions, are some of the terms associated with these approaches. I will survey some of this work, with particular emphasis on common elements and calibration properties. I will try to situate the discussion in the context of the current explosion of interest in big data and data science.
postdoc grants in Canada [deadline]
Posted in Kids, Statistics, Travel, University life with tags Canada, CANSSI, INCASS, postdoctoral position, research grant on January 28, 2016 by xi'anJust a reminder about the incoming deadline of January 31 for the CANSSI/INCASS postdoctoral grants. Those are restricted to members of CANSSI member institutions, though:
For the 2016-2017 year, up to two CANSSI Postdoctoral Fellowships will be awarded to suitable statistical sciences candidates working in CANSSI member institutions. Candidates should have received their PhD after March 31, 2013, and must have fulfilled all PhD requirements by the time of taking up the award.