Gothenburg statistics seminar

machine learning probability statistics theory

Chalmers University of Technology / University of Gothenburg

Audience:	Researchers in the discipline
Seminar series time:	Wednesday 12:15-13:00 in your time zone, UTC
Organizers:	Moritz Schauer, Ottmar Cronie
	*contact for this listing

Gothenburg statistics seminar is open to the interested public, everybody is welcome. It usually takes place in MVL14 (http://maps.chalmers.se/#05137ad7-4d34-45e2-9d14-7f970517e2b60, see specific talk).

Upcoming talks

Past talks

Your time			Speaker	Title
Thu	Jan 09	08:30	Julia Jansson	Licentiate seminar:
Wed	Jan 15	12:15	Alexey Lindo	TBA
Wed	Jan 22	12:15	Henrik Häggström	TBA
Wed	Apr 23	11:15	Sara Hamis	TBA
Tue	Apr 29	11:15	Alvaro Köhn-Luque	TBA
Wed	May 07	11:15	Calum Gabbutt	TBA

Embed this schedule

Your time			Speaker	Title
Wed	Dec 11	12:15	Aila Särkkä	Analysis of point patterns observed with errors: some examples
Wed	Nov 27	12:15	Sebastian Persson	PEtab.jl - Efficient parameter estimation for dynamic models
Thu	Nov 21	10:00	Martin Voigt Vejling	Conformal multiple Monte Carlo testing with a view to spatial statistics
Wed	Nov 20	12:15	Lembris Njotto	Spatio-temporal modeling of malaria cases in Tanzania
Wed	Nov 13	12:15	Peter Guttorp	Water is warmer than air, so why do we use sea surface temperature to estimate global temperature?
Wed	Nov 06	09:00	Marcel Wienöbst	Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs
Wed	Oct 23	11:15	Linn Engström	Computation of Robust Option Prices via Martingale Optimal Transport
Wed	Sep 25	11:15	Satish Iyengar	A clustering problem arising in psychiatry
Wed	Aug 28	11:15	Erik Jansson	Sampling non-stationary Gaussian random fields on hypersurfaces using surface finite element methods
Wed	Aug 21	11:15	Helga Olafsdottir	Scoring rule inference for spatial statistics based on cross-validation
Wed	May 29	11:15	Adrien Corenflos	Particle-MALA and Particle-mGrad: Gradient-based MCMC methods for high-dimensional state-space models
Wed	May 15	11:15	Umberto Picchini	Fast, lightweight and semi-amortised simulation-based inference
Wed	May 08	11:15	Robert Berman	Emergent complex geometry
Wed	Apr 24	11:15	Radu Stoica	Approximated inference for marked Gibbs point process
Wed	Apr 17	11:15	Sergei Zuyev	Training Bayesian neural networks with measure optimisation algorithms
Wed	Apr 03	11:15	Nathan Gillot	Modelling of the spread of a pathogen in coniferous forests and modelling for cosmological data characterization
Wed	Mar 20	12:15	Akash Sharma	Sampling on manifolds via Langevin diffusion
Wed	Mar 13	12:15	Selma Tabakovic	AI-driven sepsis care: early detection and personalized treatment
Wed	Mar 06	12:15	Vincent Szolnoky	On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
Fri	Mar 01	12:15	Christian Hirsch	On the topology of higher-order age-dependent random connection models
Wed	Feb 21	12:15	Pierre Nyquist	Large deviations for Markov chain Monte Carlo methods: the surprisingly curious case of Metropolis-Hastings.
Fri	Jan 19	12:15	Frédéric Lavancier	Spatial birth-death-move processes: basic properties and inference
Fri	Nov 03	12:15	Serik Sagitov	Theta-positive branching processes in varying environment
Thu	Oct 26	11:15	Sara Hamis	Spatial cumulant models for mathematical cancer research
Fri	Oct 20	09:00	Moritz Schauer	Causal structure learning and sampling using Markov Monte Carlo with momentum
Fri	Oct 06	11:15	Olle Häggström	Playing with fire
Thu	Sep 28	11:15	Devdatt Dubhashi	Bandits: Structured and Constrained
Thu	Sep 21	09:15	Hrvoje Planinić	Extremes of stationary heavy-tailed time series
Thu	Jun 08	11:15	Felix Held	Simultaneous gene clustering and regulatory program reconstruction reveals insight into the phenotypic plasticity of neural cancers
Thu	Jun 01	11:15	Lotta Eriksson	A multitype Galton-Watson model of biological aging
Thu	May 25	11:15	Frank Miller	Parallel optimal pretesting of mixed-format questions for achievement tests
Tue	May 16	11:15	Juan Inda	Confidence-based Prediction of Antibiotic Resistance at the Patient-level Using Transformers
Thu	May 11	11:15	Oskar Allerbo	Solving Kernel Ridge Regression with Gradient Descent
Thu	May 04	11:15	Moa Johansson	Machine Learning Methods for texts from Political Science
Thu	Apr 27	11:15	David Bolin	Gaussian Whittle-Matérn fields on metric graphs
Thu	Apr 20	11:15	Petar Jovanovski	Approximate Bayesian Computation with Backward Simulation for Discretely Observed Diffusions
Tue	Apr 04	11:15	Nicoletta D’Angelo	Self-exciting point process modelling of crimes on linear networks
Thu	Mar 16	12:15	Alan Gelfand	Three Spatial Data Fusion Vignettes
Tue	Mar 14	12:15	Finn Lindgren	Stochastic adventures in space and time
Thu	Mar 09	12:15	Konstantinos Konstantinou	Global tests for quantile regression with applications in modeling distributions.
Thu	Feb 23	12:15	Mike Pereira	Gaussian fields on Riemannian manifolds: Application to Geostatistics.
Thu	Feb 16	12:15	Martin Voigt Vejling	Applications of point process models to wireless communication systems
Thu	Feb 02	12:15	Torgny Lindvall	On coupling of renewal processes and random walks
Thu	Jan 19	14:16	Johan Jonasson	Noise sensitivity/stability for deep Boolean neural nets
Thu	Dec 15	14:15	Peter Guttorp	Vadan och varthän?
Thu	Dec 08	14:15	Karin Hårding and Daire Carroll	Population dynamics and ecology of seal populations, empirical data and the search for theory to help our understanding. Stochastic growth models, image analysis, spatial distribution and telemetry data on migrations
Thu	Dec 01	14:15	Khalil Shafie Holighi	A test for multiple signal detection from noisy images
Thu	Nov 24	14:15	David Widmann	Calibration of probabilistic predictive models
Thu	Oct 27	13:15	Peter Guttorp	Comparing recent climate models to data
Thu	Oct 20	13:15	Moritz Schauer	Automatic differentiation of programs with discrete randomness
Thu	Oct 13	13:15	Olle Häggström	Anthropic reasoning and the hinge of history hypothesis
Thu	Oct 06	13:15	Anders Ståhlberg & Serik Sagitov	Counting molecular identifiers in sequencing using a multitype branching process with immigration
Thu	Sep 29	13:15	Christophe Biscio	Asymptotic topological data analysis for point processes

Embed this schedule

Export series to