35 citations · 153 across the 16 of their papers we have counts for
7 papers · 1 filter
On Asymptotic Outlier Rejection in Bayesian Mixed Poisson Regression Models Under Extreme Target and Covariate Values
Ilaria Pia, Jarno Vanhatalo
Bayesian models are defined to be fully robust against outliers if observations infinitely far from the other data do not influence the posterior. In regression models, this entail…
Bayesian Calibration and Uncertainty Quantification for a Large Nutrient Load Impact Model
Karel Kaurila, Risto Lignell, Frede Thingstad +2
Nutrient load simulators are large, deterministic, models that simulate the hydrodynamics and biogeochemical processes in aquatic ecosystems. They are central tools for planning co…
Species Distribution Modeling with Expert Elicitation and Bayesian Calibration
Karel Kaurila, Sanna Kuningas, Antti Lappalainen +1
Species distribution models (SDMs) are key tools in ecology, conservation and management of natural resources. They are commonly trained by scientific survey data but, since survey…
Additive multivariate Gaussian processes for joint species distribution modeling with heterogeneous data
Jarno Vanhatalo, Marcelo Hartmann, Lari Veneranta
Species distribution models (SDM) are a key tool in ecology, conservation and management of natural resources. Two key components of the state-of-the-art SDMs are the description f…
Bayesian model-based spatiotemporal survey design for log-Gaussian Cox process
Jia Liu, Jarno Vanhatalo
In geostatistics, the design for data collection is central for accurate prediction and parameter inference. One important class of geostatistical models is log-Gaussian Cox proces…
Laplace approximation and the natural gradient for Gaussian process regression with the heteroscedastic Student-t model
Marcelo Hartmann, Jarno Vanhatalo
This paper considers the Laplace method to derive approximate inference for the Gaussian process (GP) regression in the location and scale parameters of the Student-t probabilistic…
Experiences in Bayesian Inference in Baltic Salmon Management
Sakari Kuikka, Jarno Vanhatalo, Henni Pulkkinen +2
We review a success story regarding Bayesian inference in fisheries management in the Baltic Sea. The management of salmon fisheries is currently based on the results of a complex…