Gothenburg statistics seminar

machine learning probability statistics theory

Chalmers University of Technology / University of Gothenburg

Audience:	Researchers in the discipline
Seminar series time:	Wednesday 11:15-12:00 in your time zone, UTC
Organizers:	Helga Kristín Ólafsdóttir, Peter Rudzis, Alexander Lewis*
	*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). Speakers are asked to prepare material for 35 minutes excluding questions from the audience.

Upcoming talks

Past talks

Your time			Speaker	Title
Wed	Oct 07	11:15	Orlando Marigliano	TBA
Wed	Oct 14	11:15	JJ Zhu	TBA
Wed	Oct 21	11:15	Mathis Rost	TBA
Wed	Oct 28	12:15	Fredrik Sävje	A Design-Based Minimax Theory for Network Experiments
Wed	Nov 11	12:15	Måns Magnusson	TBA
Wed	Nov 18	12:15	Lotta Eriksson	TBA
Wed	Nov 25	12:15	Erik Jansson	TBA
Wed	Dec 02	12:15	Ruben Seyer	TBA

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Your time			Speaker	Title
Thu	Jun 18	11:15	Serik Sagitov	The Multinomial Allocation Model and the Size of a Randomly Chosen Box
Thu	May 28	11:15	Andrea Zanoni	Learning interaction kernels in stochastic particle systems
Wed	May 27	11:15	Piotr Graczyk	Penalized estimation for Big Data in Regression Problems and its Geometry
Wed	May 13	11:15	Henrik Bengtsson	Renewal process approximations of Gaussian excursion distributions
Wed	May 06	11:15	Shuangshuang Chen	Revisit diffusion samplers: a unified framework and beyond
Wed	Apr 29	11:15	Clara Bertinelli Salucci	Likelihood Ratio Tests at the Boundary: Asymptotics Beyond Wilks’ theorem
Thu	Apr 23	11:15	Karl Hammar	Low-Variance Importance Sampling for Discretely Observed Stochastic Differential Equations
Wed	Apr 15	11:15	Karthik Bharath	Rolled Gaussian process models for data as curves on manifolds
Wed	Apr 08	11:15	Easter break	TBA
Wed	Mar 25	12:15	Peter Rudzis	Brownian particle systems with singular interactions
Wed	Mar 18	12:15	Isac Boström	Half-way seminar: Bayesian Inference for Models of Text Data
Wed	Mar 11	12:15	Filip Rydin	Learning-based methods for vehicle routing problems - recent advances
Wed	Feb 25	12:15	Martin Andrae	Flow-based generative models for data assimilation
Wed	Feb 18	12:15	Zheng Zhao	Diffusion differentiable resampling
Wed	Feb 11	12:15	Kasper Bågmark	High-dimensional Bayesian filtering through deep density approximation
Wed	Feb 04	12:15	Sandra Barman	Correlating structure and material properties in soft materials
Thu	Jan 29	12:15	Jun Yang	Stereographic Barker’s MCMC Proposal: Efficiency and Robustness at Your Disposal
Wed	Jan 21	12:15	Simon Olsson	Transferable Implicit Transfer Operators
Wed	Dec 10	12:15	Fabio Frommer	The inverse Henderson problem from statistical mechanics for multi-species models
Wed	Nov 19	12:15	Filip Tronarp	A Recursive Theory of Variational State Estimation: The Dynamic Programming Approach
Wed	Nov 05	12:15	Taisiia Morozova	Multi-Agent Reinforcement Learning for Buffered Cellular Networks
Tue	Oct 28	10:00	Viktor Nilsson	New results in the large deviations of Schrödinger bridges
Wed	Oct 22	11:15	Mathis Rost	Void Probabilities and Likelihood Approximation for Gibbs Processes
Wed	Oct 15	11:15	Johannes Borgqvist	HeMiTo-dynamics: a characterization of mammalian prion toxicity using non-dimensionalization, linear stability and perturbation analyses
Wed	Oct 08	11:15	Oskar Allerbo	Is supervised learning really that different from unsupervised?
Wed	Sep 03	11:15	Jeffrey Steif	Is your coin rational?
Thu	Jul 10	11:15	Fima Klebaner	Emergence of populations. H(W) theory.
Wed	Jun 18	11:15	Philip Gerlee	Evaluation of respiratory disease hospitalisation forecasts using synthetic outbreak data
Wed	Jun 11	11:15	Elizabeth Baker	Conditioning diffusion processes with score matching methods
Wed	May 28	11:15	Mattias Byléhn	PhD defence: Hyperuniformity and hyperfluctuations for random measures on Euclidean and non-Euclidean spaces
Tue	May 27	08:30	Nils Grimbeck	What do we see when we look at art? - Modelling of eye-movements in art perception
Wed	May 21	11:15	Ruben Seyer	Creating non-reversible rejection-free samplers by rebalancing skew-balanced Markov jump processes
Wed	May 07	11:15	Calum Gabbutt	Timing copy number alterations in Barrett’s Oesophagus using hierarchical Bayesian models
Wed	Apr 30	09:00	Alvaro Köhn-Luque	Phenotypic deconvolution of cancer cell populations
Wed	Apr 23	11:15	Sara Hamis	Predicting and controlling cell systems that generate spatio-temporal point patterns
Wed	Apr 16	11:15	Vincent Molin	Controlled stochastic processes for simulated annealing
Wed	Mar 26	12:15	Marco Tarantino	Using a Neural Network approach and Starspots dependent models to predict Effective Temperatures and Ages of young stars
Wed	Mar 19	12:15	Adélie Erard	A method for estimating population growth at a local scale. An application using French breeding bird surveys data.
Wed	Jan 22	12:15	Henrik Häggström	Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology
Wed	Jan 15	12:15	Alexey Lindo	Probability-Generating Function Kernels for Spherical Data
Fri	Jan 10	10:00	Rasmus Waagepetersen	Point process approaches to study clustering of industry locations
Thu	Jan 09	08:30	Julia Jansson	Licentiate seminar: Statistical Properties of Point Process Learning for Gibbs Processes
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

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