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Jarno Vanhatalo
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Journal Articles
- 2025
- [j7]Karel Kaurila, Risto Lignell, Frede Thingstad, Harri Kuosa, Jarno Vanhatalo:
Bayesian calibration and uncertainty quantification for a large nutrient load impact model. Ecol. Informatics 85: 102976 (2025) - 2020
- [j6]Kelsey LaMere
, Samu Mäntyniemi, Jarno Vanhatalo, Päivi Haapasaari
:
Making the most of mental models: Advancing the methodology for mental model elicitation and documentation with expert stakeholders. Environ. Model. Softw. 124: 104589 (2020) - 2019
- [j5]Jarno Vanhatalo
, Zitong Li
, Mikko J. Sillanpää
:
A Gaussian process model and Bayesian variable selection for mapping function-valued quantitative traits with incomplete phenotypic data. Bioinform. 35(19): 3684-3692 (2019) - [j4]Malcolm S. Itter
, Jarno Vanhatalo
, Andrew O. Finley:
EcoMem: An R package for quantifying ecological memory. Environ. Model. Softw. 119: 305-308 (2019) - [j3]Marcelo Hartmann
, Jarno Vanhatalo
:
Laplace approximation and natural gradient for Gaussian process regression with heteroscedastic student-t model. Stat. Comput. 29(4): 753-773 (2019) - 2013
- [j2]Jarno Vanhatalo, Jaakko Riihimäki, Jouni Hartikainen, Pasi Jylänki, Ville Tolvanen, Aki Vehtari:
GPstuff: Bayesian modeling with Gaussian processes. J. Mach. Learn. Res. 14(1): 1175-1179 (2013) - 2011
- [j1]Pasi Jylänki, Jarno Vanhatalo, Aki Vehtari:
Robust Gaussian Process Regression with a Student-t Likelihood. J. Mach. Learn. Res. 12: 3227-3257 (2011)
Conference and Workshop Papers
- 2018
- [c5]Eero Siivola
, Aki Vehtari
, Jarno Vanhatalo
, Javier González, Michael Riis Andersen:
Correcting boundary over-Exploration Deficiencies in Bayesian Optimization with Virtual derivative Sign observations. MLSP 2018: 1-6 - 2010
- [c4]Jarno Vanhatalo, Aki Vehtari:
Speeding up the binary Gaussian process classification. UAI 2010: 623-631 - 2009
- [c3]Jarno Vanhatalo, Pasi Jylänki, Aki Vehtari:
Gaussian process regression with Student-t likelihood. NIPS 2009: 1910-1918 - 2008
- [c2]Jarno Vanhatalo, Aki Vehtari:
Modelling local and global phenomena with sparse Gaussian processes. UAI 2008: 571-578 - 2007
- [c1]Jarno Vanhatalo, Aki Vehtari:
Sparse Log Gaussian Processes via MCMC for Spatial Epidemiology. Gaussian Processes in Practice 2007: 73-89
Informal and Other Publications
- 2012
- [i3]Jarno Vanhatalo, Aki Vehtari:
Speeding up the binary Gaussian process classification. CoRR abs/1203.3524 (2012) - [i2]Jarno Vanhatalo, Aki Vehtari:
Modelling local and global phenomena with sparse Gaussian processes. CoRR abs/1206.3290 (2012) - [i1]Jarno Vanhatalo, Jaakko Riihimäki, Jouni Hartikainen, Pasi Jylänki, Ville Tolvanen, Aki Vehtari:
Bayesian Modeling with Gaussian Processes using the MATLAB Toolbox GPstuff (v3.3). CoRR abs/1206.5754 (2012)
Coauthor Index
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