Heikki Haario

According to our database, Heikki Haario authored at least 28 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

A Bayesian Approach to Modeling Biological Pattern Formation with Limited Data.

Alexey Kazarnikov, Robert Scheichl, Heikki Haario, Anna K. Marciniak-Czochra

SIAM J. Sci. Comput., October, 2023

Bayesian synthetic likelihood for stochastic models with applications in mathematical finance.

Ramona Maraia, Sebastian Springer, Teemu Härkönen, Martin Simon, Heikki Haario

Frontiers Appl. Math. Stat., 2023

KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows.

Zina-Sabrina Duma, Jouni Susiluoto, Otto Lamminpää, Tuomas Sihvonen, Satu-Pia Reinikainen, Heikki Haario

CoRR, 2023

2022

Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs.

Sebastian Springer, Aldo Glielmo, Angelina Senchukova, Tomi Kauppi, Jarkko Suuronen, Lassi Roininen, Heikki Haario, Andreas Hauptmann

CoRR, 2022

2020

Resolving overlapping convex objects in silhouette images by concavity analysis and Gaussian process.

Sahar F. Zafar, Mariia Murashkina, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario

J. Vis. Commun. Image Represent., 2020

Modelling internal knot distribution using external log features.

Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Tapio Helin, Heikki Haario, Tomi Kauppi, Jere Heikkinen

Comput. Electron. Agric., 2020

2019

Fine-Grained Wood Species Identification Using Convolutional Neural Networks.

Dmitrii Shustrov, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario

Proceedings of the Image Analysis - 21st Scandinavian Conference, 2019

Timber Tracing with Multimodal Encoder-Decoder Networks.

Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario, Jere Heikkinen, Tomi Kauppi

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Approximation error approach in spatiotemporally chaotic models with application to Kuramoto-Sivashinsky equation.

Janne M. J. Huttunen, Jari P. Kaipio, Heikki Haario

Comput. Stat. Data Anal., 2018

Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks.

Nikolay Rudakov, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario

Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017

The Impact of Household Size on Malaria Reduction in Relation with Alterations in Mosquito Behavior by Malaria Parasite.

Anna Shcherbacheva, Heikki Haario

J. Multiple Valued Log. Soft Comput., 2017

Analysis of bias in an Ebola epidemic model by extended Kalman filter approach.

Denis Ndanguza, Isambi S. Mbalawata, Heikki Haario, Jean M. Tchuenche

Math. Comput. Simul., 2017

Comparison of Concave Point Detection Methods for Overlapping Convex Objects Segmentation.

Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

2016

Segmentation of Partially Overlapping Convex Objects Using Branch and Bound Algorithm.

Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015

Segmentation of Overlapping Elliptical Objects in Silhouette Images.

Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario

IEEE Trans. Image Process., 2015

Posterior inference on parameters of stochastic differential equations via non-linear Gaussian filtering and adaptive MCMC.

Simo Särkkä, Jouni Hartikainen, Isambi Sailon Mbalawata, Heikki Haario

Stat. Comput., 2015

Introduction to "Quantitative bounds of convergence for geometrically ergodic Markov Chain in the Wasserstein distance with application to the Metropolis adjusted Langevin algorithm" by A. Durmus, É. Moulines.

Heikki Haario

Stat. Comput., 2015

Randomize-Then-Optimize for Sampling and Uncertainty Quantification in Electrical Impedance Tomography.

Johnathan M. Bardsley, Aku Seppänen, Antti Solonen, Heikki Haario, Jari P. Kaipio

SIAM/ASA J. Uncertain. Quantification, 2015

Adaptive Metropolis algorithm using variational Bayesian adaptive Kalman filter.

Isambi S. Mbalawata, Simo Särkkä, Matti Vihola, Heikki Haario

Comput. Stat. Data Anal., 2015

Segmentation of Partially Overlapping Nanoparticles Using Concave Points.

Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

2014

Randomize-Then-Optimize: A Method for Sampling from Posterior Distributions in Nonlinear Inverse Problems.

Johnathan M. Bardsley, Antti Solonen, Heikki Haario, Marko Laine

SIAM J. Sci. Comput., 2014

Determining parameter distribution in within-host severe P. falciparum malaria.

Betty K. Nannyonga, Gasper Godson Mwanga, Heikki Haario, Isambi S. Mbalawata, Matti Heiliö

Biosyst., 2014

2013

Parameter estimation in stochastic differential equations with Markov chain Monte Carlo and non-linear Kalman filtering.

Isambi S. Mbalawata, Simo Särkkä, Heikki Haario

Comput. Stat., 2013

2007

Bayesian modelling of algal mass occurrences - using adaptive MCMC methods with a lake water quality model.

Olli Malve, Marko Laine, Heikki Haario, Teija Kirkkala, Jouko Sarvala

Environ. Model. Softw., 2007

A filtering approach for estimating lake water quality from remote sensing data.

Arto Voutilainen, Timo Pyhälahti, Kari Y. Kallio, Jouni Pulliainen, Heikki Haario, Jari P. Kaipio

Int. J. Appl. Earth Obs. Geoinformation, 2007

2006

DRAM: Efficient adaptive MCMC.

Heikki Haario, Marko Laine, Antonietta Mira, Eero Saksman

Stat. Comput., 2006

2005

Componentwise adaptation for high dimensional MCMC.

Heikki Haario, Eero Saksman, Johanna Tamminen

Comput. Stat., 2005

1999

Adaptive proposal distribution for random walk Metropolis algorithm.

Heikki Haario, Eero Saksman, Johanna Tamminen

Comput. Stat., 1999