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Peter Guttorp

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Professor II

Norway

Research Interests

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About

Peter Guttorp is a Professor II at the Norwegian Computing Center in Norway. His research primarily focuses on Bayesian modeling, with recent work exploring aftershock parameters and spatial temperature events in a changing climate. He has contributed to various articles discussing earthquake catalog processing and the application of effective uncertainty visualization in forecasting. His expertise encompasses flexible spatial covariance functions and point process models.

Recent Grants

Grant: Close

Extracting information from complicated point patterns

Open Date: 2019-01-01

Close Date: 2022-12-31

Grant: Close

Statistical tools for climate science

Open Date: 2014-07-01

Close Date: 2018-06-30

Grant: Close

Pan American Advanced Studies Institute on Spatio-temporal Modeling; Buzios, Brazil, July 2014

Open Date: 2013-07-01

Close Date: 2015-06-30

Articles (9)

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2026

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2025

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2025

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2024

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2023

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2023

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2022

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2020

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2020

Collaborators (1)

Joel Kostensalo

Senior Scientist

Natural Resources Institute Finland

FINLAND

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Peter Guttorp

Research Interests

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About

Recent Grants

Articles (9)

What You See Is Not What Is There: Mechanisms, Models and Methods for Point Pattern Deviations

Bayesian ETAS Modeling for the Pacific Northwest: Uncovering Effects of Tectonic Regimes, Regional Differences, and Swarms on Aftershock Parameters

Peter F. Craigmile, Peter Guttorp, and Thordis L. Thorarinsdottir’s contribution to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’ by Healy et al.

What Do We Know Without the Catalog? Eliciting Prior Beliefs from Experts for Aftershock Models

Comparing CMIP6 Climate Model Simulations of Annual Global Mean Temperatures to a New Combined Data Product

Earthquake Catalog Processing and Swarm Identification for the Pacific Northwest

Effective uncertainty visualization for aftershock forecast maps

Flexible spatial covariance functions

Interacting cluster point process model for epidermal nerve fibers

Collaborators (1)

Joel Kostensalo

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