Jukka-Pekka Onnela | DeepAI

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Featured Co-authors

Fei Li
46 publications
Antonietta Mira
26 publications
Ritabrata Dutta
22 publications
Jonathan Larson
13 publications
Ian Barnett
12 publications
Yingrui Yang
7 publications
Avinash Ummadisingu
7 publications
Linda Valeri
7 publications
Till Hoffmann
6 publications
Sixing Chen
4 publications
Xinru Wang
4 publications

∙ 01/21/2023

Scalable Gaussian Process Inference with Stan

Gaussian processes (GPs) are sophisticated distributions to model functi...

0 Till Hoffmann, et al. ∙

∙ 01/12/2023

A Generalized Estimating Equation Approach to Network Regression

Regression models applied to network data where node attributes are the ...

0 Riddhi Pratim Ghosh, et al. ∙

∙ 10/10/2022

Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies

The use of digital devices to collect data in mobile health (mHealth) st...

0 Charlotte Fowler, et al. ∙

∙ 07/15/2022

A 'one-size-fits-most' walking recognition method for smartphones, smartwatches, and wearable accelerometers

The ubiquity of personal digital devices offers unprecedented opportunit...

0 Marcin Straczkiewicz, et al. ∙

∙ 06/29/2022

State space model multiple imputation for missing data in non-stationary multivariate time series with application in digital Psychiatry

Mobile technology enables unprecedented continuous monitoring of an indi...

0 Xiaoxuan Cai, et al. ∙

∙ 06/06/2022

Minimizing the Expected Posterior Entropy Yields Optimal Summary Statistics

Extracting low-dimensional summary statistics from large datasets is ess...

34 Till Hoffmann, et al. ∙

∙ 09/02/2021

Combining Accelerometer and Gyroscope Data in Smartphone-Based Activity Recognition using Movelets

Objective: A patient's activity patterns can be informative about her/hi...

0 Emily Huang, et al. ∙

∙ 06/16/2021

Maximum likelihood estimation for mechanistic network models

Mechanistic network models specify the mechanisms by which networks grow...

0 Jonathan Larson, et al. ∙

∙ 02/19/2021

Inferring the minimum spanning tree from a sample network

Minimum spanning trees (MSTs) are used in a variety of fields, from comp...

0 Jonathan Larson, et al. ∙

∙ 01/19/2021

Selection of Summary Statistics for Network Model Choice with Approximate Bayesian Computation

Approximate Bayesian Computation (ABC) now serves as one of the major st...

9 Louis Raynal, et al. ∙

∙ 11/09/2020

Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries

Approximate Bayesian computation (ABC) is a simulation-based likelihood-...

0 Louis Raynal, et al. ∙

∙ 10/07/2019

A systematic review of human activity recognition using smartphones

Smartphones have become a global communication tool and more recently a ...

0 Marcin Straczkiewicz, et al. ∙

∙ 03/20/2019

Activity Classification Using Smartphone Gyroscope and Accelerometer Data

Activities, such as walking and sitting, are commonly used in biomedical...

0 Emily Huang, et al. ∙

∙ 03/18/2019

Efficient vaccination strategies for epidemic control using network information

Network-based interventions against epidemic spread are most powerful wh...

0 Yingrui Yang, et al. ∙

∙ 06/28/2018

A Bootstrap Method for Goodness of Fit and Model Selection with a Single Observed Network

Network models are applied in numerous domains where data can be represe...

0 Sixing Chen, et al. ∙

∙ 05/29/2018

Connected but Segregated: Social Networks in Rural Villages

There is an increased appreciation for, and utilization of, social netwo...

0 Felipe Montes, et al. ∙

∙ 05/23/2018

Bayesian method for inferring the impact of geographical distance on intensity of communication

Both theoretical models and empirical findings suggest that the intensit...

0 Fei Li, et al. ∙

∙ 04/01/2018

Flexible Model Selection for Mechanistic Network Models via Super Learner

Application of network models can be found in many domains due to the va...

0 Sixing Chen, et al. ∙

∙ 12/19/2017

Generalizations of Edge Overlap to Weighted and Directed Networks

With the increasing availability of behavioral data from diverse digital...

0 Heather Mattie, et al. ∙

∙ 11/13/2017

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

ABCpy is a highly modular scientific library for Approximate Bayesian Co...

0 Ritabrata Dutta, et al. ∙

∙ 10/11/2017

The Social Bow Tie

Understanding tie strength in social networks, and the factors that infl...

0 Heather Mattie, et al. ∙

∙ 09/26/2017

Bayesian Inference of Spreading Processes on Networks

Infectious diseases are studied to understand their spreading mechanisms...

0 Ritabrata Dutta, et al. ∙

∙ 09/26/2017

Bayesian Inference of Network Epidemics

Infectious diseases are studied to understand their spreading mechanisms...

0 Ritabrata Dutta, et al. ∙