Seminars

Smartphones: collecting better social data

Speaker: 
Prof. Peter Lugtig, Department of Methodology and Statistics, Utrecht University, Netherlands

Abstract:  Mobile phones are attractive to use in studies of humans. Phones potentially allow researchers to study objective facts (like health) behaviors (time use, travel behavior) or attitudes (asking questions in the moment) in a better, faster or cheaper way than using other research methods, such as surveys. Mobile phones can be used to ask survey questions, but also allow location-tracking, the study of human interactions, the use of pictures, and various other sensors.

Time of Seminar: 
2021-11-18 14:30
University: 

New opportunities to enhance or extend (mobile) web survey data

Speaker: 
Oriol J. Bosch (London School of Economics)

Abstract: “During the last few years, an increasing proportion of surveys have been answered through the Internet, especially with smartphones. The enhanced capabilities of PCs and particularly smartphones provide new methodological opportunities. Devices’ sensors and apps allow researchers to collect new types of data, which can improve and expand survey measurement, and offer the potential to reduce measurement errors, respondent’s burden, and data collection costs.

Time of Seminar: 
2021-09-16 15:30
University: 

Seminar in Statistics: Liu estimator for the beta regression model

Speaker: 
Dr. Peter Karlsson
Dear Colleagues,
 

With this email I gladly invite you to the ’online’ statistical seminar at Handelshögskolan. This week, on Thursday 20th May, we host Dr. Peter Karlsson, senior lecturer at the Department of Economics and Statistics, School of Business and Economics, Linnaeus University, who at 13.30-14.15, will present his recent research. 

Time of Seminar: 
2021-05-20 15:30
University: 

Bias due to one-sided differential misclassification of a binary confounder

Speaker: 
Prof. Ronnie Pingel
Dear Colleagues,
 

With this email I gladly invite you to the ’online’ statistical seminar where Prof. Ronnie Pingel, senior lecturer at the Department of Statistics, Uppsala University, will present his recent research. 

Time of Seminar: 
2021-03-18 14:30
University: 

Special seminar on Big Data

Speaker: 
Prof. S. Ejaz Ahmed from Brock University, Canada

We are pleased to announce that the Special seminar on Big Data will be held just after the Multivariate and Mixed Linear Models conference, on Saturday, 4th of May in Bedlewo, Poland.

Time of Seminar: 
2019-05-04 08:00
University: 

Machine Learning, Winter Course/Conference in Statistics

Speaker: 
See below

The Conference starts with a Welcome reception, approximately at 20.00 on Sunday, March 10, and is concluded with lunch at 11.00 on Thursday, March 14.

Approximately 18 hours will be scheduled of which 12 lectures will be given by the main speakers.

Lectures will be given in the morning, in late afternoon and in the evening, with opportunity for outdoor activities during midday.

The Conference Programme will be available in February.

Preliminary topics:

AdaNet: adaptive learning of neural networks (Corinna Cortes, Google Research)

Time of Seminar: 
2019-03-10 20:20
University: 

Physiological Gaussian Process Priors for the Hemodynamics in fMRI Analysis

Speaker: 
​Josef Wilzén (Linköping)

Inference from fMRI data faces the challenge that the hemodynamic system, that relates the underlying neural activity to the observed BOLD fMRI signal, is not known. We propose a new Bayesian model for task fMRI data with the following features: (i) joint estimation of brain activity and the underlying hemodynamics, (ii) the hemodynamics is modeled nonparametrically with a Gaussian process (GP) prior guided by physiological information and (iii) the predicted BOLD is not necessarily generated by a linear time-invariant (LTI) system.

Time of Seminar: 
2018-11-21 13:15
University: 

Assembling stochastic quasi-Newton algorithms using Gaussian processes

Speaker: 
Thomas Schön (Uppsala University)

Abstract: In this talk I will focus on one of our recent developments where we show how the Gaussian process (GP) can be used to solve stochastic optimization problems. Our main motivation for studying these problems is that they arise when we are estimating unknown parameters in nonlinear state space models using sequential Monte Carlo (SMC). The very nature of this problem is such that we can only access the cost function (in this case the likelihood function) and its derivative via noisy observations, since there are no closed-form expressions available.

Time of Seminar: 
2018-11-07 13:15
University: 

Non-parametric methods for learning continuous-time dynamical systems

Speaker: 
Harri Lähdesmäki

Welcome to a seminar with Harri Lähdesmäki (Aalto) on 25 October at 13.15 in room MV:L14 at Dept. Mathematical Sciences (Chalmers tvärgata 3, Gothenburg).

Time of Seminar: 
2018-10-25 13:15
University: 

Seminar in Statistics - On the risk of LASSO type estimators

Speaker: 
Rauf Ahmad, Uppsala University

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Title: On the risk of LASSO type estimators
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Abstract:

This talk attempts to address the issues of sparsity and mathematically intractable risk of LASSO estimator - by introducing a parallel LASSO-type estimator which does not rest on sparsity and whose risk is exactly computable. It offers a generalization of the classical LASSO estimator for non-orthogonal design, allowed to be of less than full rank. We compare the risk of new estimator with its shrinkage competitor, the ridge estimator.

Time of Seminar: 
2018-03-26 13:15
University: 

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