Program
program
Komplett program med abstract for alle konferansebidrag finnes
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Mandag 12.juni
12:30 – 13:30 Lunsj
13:30 – 18:00 Forkurs: Introductory course to deep learning
19:00 Middag
Tirsdag 13.juni
09:00 – 12:30 Forkurs: Introductory course to deep learning
12:30 – 13:30 Lunsj
13:30 – 15:00 Invitert og Sverdrup 1
13:30 – 14:15 Invitert: Jukka Corander: Likelihood-free inference for computational evolutionary epidemiology
14:15 – 15:00 Sverdruprisvinner 1: Ørnulf Borgan: Case-control studies: An overview from a methodological perspective
Pause
15:20 – 16:20 Estimering og prediksjon 1
15:20 – 15:35 Riccardo de Bin: Integrated likelihoods in models with stratum nuisance parameters
15:35 – 15:50 Margrethe Kvale Loe: Ensemble updating of binary state vectors
15:50 – 16:05 Raju Rimal: simrel-m: A Simulation tool and its application
16:05 – 16:20 Céline Cunen: Combining diverse information sources with the II-CC- FF paradigm
Pause
16:30 – 17:25 Biostatistikk
16:45 – 17:00 Maria Selle: Genomic prediction including external information on markers
17:00 – 17:15 Emil Aas Stoltenberg: Selecting the failure time distribution in cure models
17:30 – 18:30 Årsmøte NSF
19:00 Middag
Onsdag 14.juni
09:00 – 10:15 Invitert og statistikk i samfunnet 1
09:00 – 09:45 Invitert: Per Mykland (based on joint work with Lan Zhang): Assessment of Uncertainty in High Frequency data: The Observed Asymptotic Variance, and the Question of Soft and Hard Edges
09:45 – 10:00 Kathrine Frey Frøslie: Statistrikk
10:00 – 10:15 Johan Heldal: The RAIRD project
Pause
10:35 – 11:20 Estimering og prediksjon 2
10:35 – 10:50 Kristoffer Hellton: Fridge: focused fine-tuning of ridge regression for personalized prediction
11:05 – 11:20 Ingrid Hobæk Haff: Combining dependent probability forecasts
Pause
11:40 – 12:25 Tidsrekker
11:40 – 11:55 Steffen Grønneberg: On Partial-Sum Processes of ARMAX Residuals
11:55 – 12:10 Torunn Heggland: Seasonal adjustment of time series in official statistics
12:10 – 12:25 Eirik Myrvoll-Nilsen: Computationally efficient approximation of long memory processes
12:30 – 13:30 Lunsj
13:30 – 14:45 Sverdrup 2 and marine anvendelser 1
13:30 – 14:15 Sverdruprisvinner 2: Geir-Arne Fuglstad: Spatial Non-stationarity witl Varying Anisotropy
14:15 – 14:30 Magne Aldrin: Populasjonsmodell for lakselus på et oppdrettsanlegg
14:30 – 14:45 Olav Breivik: Et latent Gaussisk verktøy for regulering av rekefisket i Barentshavet
Pause
15:05 – 15:50 Modellvalg
15:05 – 15:20 Yinzhi Wang: Model selection methods for non-life insurance claim severity distributions
15:20 – 15:35 Jonas Christoffer Lindstrøm: Model selection in group structural equation models
15:35 – 15:50 Sam-Erik Walker: Estimation and model selection by data-driven maximum weighted likelihood
Pause
16:10 – 16:55 Romlig statistikk
16:10 – 16:25 Ingrid Aarnes: Challenges in using Truncated Gaussian Simulation method to describe geology in petroleum reservoir models
16:25 – 16:40 Ragnar Hauge: Prediksjon av bergart frå seismiske data
17:15 – 18:30 Fotballkamp
19:00 Omvisning og konferansemiddag
Torsdag 15.juni
09:00 – 10:15 Invitert og undervisning/statistikk i samfunnet 2
09:00 – 09:45 Invitert: Erlend Aune: Towards Computer Aided Journalism
09:45 – 10:00 Nils Lid Hjort: The semifinals factor for skiing fast in the finals
10:00-10:15 Mette Langaas: Læringsressurser i grunnundervisningen i statistikk
Pause
10:35 – 11:20 Estimering og prediksjon 3
10:35 – 10:50 Solve Sæbø: Bayes PLS
10:50 – 11:05 Jonas Moss: Non-parametric density estimation on [0,1] with Bernstein splines
11:05 – 11:20 Gudmund Hermansen: Focused Regularised Likelihood
Pause
11:40-12:25 Marin og landbruksanvendelser 2
11:40 – 11:55 Martin Jullum: Estimating the seal pup abundance in the Greenland Sea with Bayesian hierarchical modeling
11:55 – 12:10 Hiroko Solvang: Causal inference using the Akaike's power contribution over the whole frequency domain
12:10 – 12:25 Lars Erik Gangsei: B-splines i CT-bilder av gris - optimalisering av prediksjonspresisjon