Search Results for author: Jukka-Pekka Onnela

Found 8 papers, 3 papers with code

Minimizing the Expected Posterior Entropy Yields Optimal Summary Statistics

1 code implementation6 Jun 2022 Till Hoffmann, Jukka-Pekka Onnela

Extracting low-dimensional summary statistics from large datasets is essential for efficient (likelihood-free) inference.

Bayesian Inference Model Selection

Cost-based feature selection for network model choice

no code implementations19 Jan 2021 Louis Raynal, Till Hoffmann, Jukka-Pekka Onnela

This approach reduced the computational cost by a factor of 50 without affecting classification accuracy.

Model Selection

A systematic review of smartphone-based human activity recognition for health research

no code implementations7 Oct 2019 Marcin Straczkiewicz, Peter James, Jukka-Pekka Onnela

We extracted information on smartphone body location, sensors, and physical activity types studied and the data transformation techniques and classification schemes used for activity recognition.

Human Activity Recognition

ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation

1 code implementation13 Nov 2017 Ritabrata Dutta, Marcel Schoengens, Lorenzo Pacchiardi, Avinash Ummadisingu, Nicole Widmer, Jukka-Pekka Onnela, Antonietta Mira

Further, ABCpy enables ABC experts to easily develop new inference schemes and evaluate them in a standardized environment and to extend the library with new algorithms.


The Social Bow Tie

no code implementations11 Oct 2017 Heather Mattie, Kenth Engø-Monsen, Rich Ling, Jukka-Pekka Onnela

We also investigate what aspects of the bow tie are most predictive of tie strength in two distinct social networks: a collection of 75 rural villages in India and a nationwide call network of European mobile phone users.

Bayesian Inference of Spreading Processes on Networks

no code implementations26 Sep 2017 Ritabrata Dutta, Antonietta Mira, Jukka-Pekka Onnela

Although the underlying processes of transmission are different, the network approach can be used to study the spread of pathogens in a contact network or the spread of rumors in an online social network.

Bayesian Inference

Topics in social network analysis and network science

no code implementations31 Mar 2014 A. James O'Malley, Jukka-Pekka Onnela

This chapter introduces statistical methods used in the analysis of social networks and in the rapidly evolving parallel-field of network science.

Physics and Society Social and Information Networks

Communities in Networks

1 code implementation22 Feb 2009 Mason A. Porter, Jukka-Pekka Onnela, Peter J. Mucha

We survey some of the concepts, methods, and applications of community detection, which has become an increasingly important area of network science.

Physics and Society Statistical Mechanics Computers and Society Discrete Mathematics Statistics Theory Adaptation and Self-Organizing Systems Computational Physics Statistics Theory

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