Submitted by Farrukh Javed on November 14, 2021 - 21:43
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.
Submitted by Farrukh Javed on September 14, 2021 - 23:36
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.
Submitted by Farrukh Javed on May 19, 2021 - 09:19
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.
Submitted by Farrukh Javed on March 14, 2021 - 21:15
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.
Submitted by jolanta.pielasz... on January 4, 2019 - 16:10
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.
Submitted by xavierdeluna on January 17, 2019 - 14:26
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)
Submitted by umberto.picchini on November 17, 2018 - 09:30
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.
Submitted by umberto.picchini on October 25, 2018 - 16:49
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.
