Invited sessions

Here is a table of invited talk sessions and speakers.

Invited talk sessions take place in rooms called Struve and Baer.

You can see all the abstracts of presentations here.

Session I1: Statistical network analysis
Organizer: Olga Klopp (ESSEC Business School) 
Chair: Tom Britton
 Olga Klopp (ESSEC Business School) 
      Network models and sparse graphon estimation  
Maxim Panov (Skoltech, Moscow)
      Optimal estimation in mixed membership stochastic block models
 Catherine Matias (CNRS, Paris)
      Semiparametric stochastic block model for longitudinal network
Session I2: Statistical inference for stochastic differential equations
Organizer: Michael  Sørensen (University of Copenhagen) 
Chair: Filip Lindskog
 Michael Sørensen (University of Copenhagen)
      Maximum likelihood estimation for stochastic differential equations with random effects 
 BaerSøren Wengel Mogensen (University of Copenhagen)
      Structure learning and linear stochastic differential equations 
 Jimmy Olsson (KTH Royal Institute of Technology)
     Particle-based online smoothing and parameter learning in partially observed diffusion processes
Session I3: Computational Bayesian statistics
Organizer & chair: Matti Vihola (University of Jyväskylä)
 Simo Särkkä (Aalto University)
      Gaussian approximations of SDEs in Metropolis adjusted Langevin algorithms
 StruveMikko Kuronen (Natural Resources Institute Finland, Luke)
      Bayesian inference for tree regeneration models using MCMC and INLA
 Jordan Franks (University of Jyväskylä)
      Importance sampling and pseudomarginal Markov chain Monte Carlo methods for exact inference
Session I4: Advances in causal inference
Organizer: Ingeborg  Waernbaum (Umeå University)
Chair: Krista Fischer
 Ingeborg  Waernbaum (Umeå University)
      Model misspecification and bias for inverse probability weighting and doubly robust estimators
 BaerKjetil Røysland (University of Oslo)
      Causal interpretation in survival analysis
 Juha Karvanen (University of Jyväskylä)
      Towards automated causal inference
Session I5: Recent advances in confidence distributions and fiducial inference
Organizer: Céline Cunen (University of Oslo)
Chair: Pauliina Ilmonen
 Céline Cunen (University of Oslo)
      II-CC-FF  – combination of information beyond meta-analysis   
 StruveNils Lid Hjort (University of Oslo)
      Predictions and confidence
 Jonathan Williams (University of North Carolina at Chapel Hill)
      Non-penalized variable selection in high-dimensional settings via generalized fiducial inference
Session I6: On estimation in general multivariate models
Organizer: Tatjana von Rosen (Stockholm University)
Chair: Silvelyn Zwanzig
 Tatjana von Rosen (Stockholm University)
Bilinear regression with rank restrictions on the mean and the dispersion matrix
 StruveAnnika Tillander (Linköping University)
Csörgő-Csörgő-Horwáth-Mason based inference for high-dimensional linear models
 Toni Duras (Jönköping University)
An extension of the fixed-effects principal component model to a common principal component environment
Session I7: Applications in spatial and spatio-temporal statistics
Organizer: Johan Lindström (Lund University)  
Chair: Sara Sjöstedt de Luna
 Henrike Häbel (Natural Resources Institute Finland, Luke)
      From trees per hectare to nanoparticles: How Gibbs point processes model interaction in various scenarios  
 StruveAdam Lund (University of Copenhagen)
      Estimation for dynamical spatio-temporal array models
 Johan Lindström (Lund University)
      Spatial reconstruction of forest fires
Session I8: Functional data analysis
Organizer: Andreas Kryger Jensen (University of Copenhagen)
Chair: Ingrid Glad
 Andreas Kryger Jensen (University of Copenhagen)
      Identifying and predicting fluid build-up in the lungs
 StruveSara Sjöstedt de Luna (Umeå University)
      Prediction of spatial functional random processes: comparing functional and spatio-temporal kriging approaches
  Niels Lundtorp Olsen (University of Copenhagen)
Domain selection for functional data: extending false discovery rates to p-values defined on continuous domains
Session I9: Discrete probability theory
Organizer: Daniel  Ahlberg (Stockholm University) 
Chair: Jüri Lember
 Alexandre Stauffer (University of Bath)
      Competition in randomly growing processes
 StruveDaniel  Ahlberg (Stockholm University)
      Spatial growth and competition

 Daniel Valesin (University of Groningen)
      Monotonicity for multi-range percolation on oriented trees
Session I10:  Statistics for manifold data
Organizer: Andrew Wood (University of Nottingham) 
Chair: Aad van der Vaart
 Benjamin Eltzner (University of Gottingen)
      Slowly Converging Sample Means
 BaerStefan Sommer (University of Copenhagen)
      Probabilistic approaches to statistics of manifold data
 Andrew Wood (University of Nottingham)
      CLT for the intrinsic Fréchet mean on compact Riemannian manifolds
Session I11:  Teaching and communicating statistics
Organizer: Inger Persson (Uppsala University)
Chair: Rolf Larsson
 Lena Zetterqvist (Lund University)
      Teaching statistics using technology
BaerKathrine Frey Frøslie (University of Oslo)
      How to build confidence
 Inger Persson (Uppsala University)
      Flipping the classroom
Session I12:  Actuarial mathematics
Organizer: Mogens Steffensen (University of Copenhagen) 
Chair: Kalev Pärna
 Mogens Steffensen (University of Copenhagen)
      Pension saving decision making under lifetime and investment uncertainty
 BaerJeffrey Collamore (University of Copenhagen)
      Rare event simulation for GARCH(p,q) processes and related matrix recursive sequences
 Enrico Biffis (Imperial College London)
     Health insurance, portfolio choice, and retirement incentives
Session I13: Topics in financial mathematics
Organizer & chair: Tommi Sottinen (University of Vaasa)
 Seppo Pynnönen (University of Vaasa)
     Event study testing with cross-sectional correlation due to partially overlapping event windows
 BaerLauri Viitasaari (University of Helsinki)
      Structural change detection in multivariate systems and the recent financial crisis period
 Marko Voutilainen (Aalto University)
      On model fitting and estimation of stationary processes