activity
20102026
most citedNovel community data in ecology -- properties and prospects

89 citations · 110 across the 13 of their papers we have counts for

collaborators

13 papers

stat.ML2026

Physics-Informed Learning for Robust Acoustic Localization with Calibrated Uncertainty

Jennifer N. Kampe, Changwoo J. Lee, Xin Shen +5

Recent advances in Passive Acoustic Monitoring (PAM) offer an opportunity to obtain ecological spatial point-process data at unprecedented scale. However, realizing this opportunit…

eess.AS2026

ForestIR: Physics-Informed Forest Sound Simulation for Array-Based Bioacoustic Remote Sensing

Xin Shen, Jennifer N. Kampe, Changwoo J. Lee +7

Microphone array-based passive acoustic monitoring is increasingly used for biodiversity sensing in forests. However, design and evaluation of array systems and configurations rema…

eess.AS2026

Mixture-Constrained Max Pooling Improves Separation-Based Bird Species Classification

Yuzhu Wang, Kalle Lahtinen, Patrik Lauha +4

Bird species classification from field recordings remains challenging due to overlapping vocalizations and incomplete species labels. We study source separation as a preprocessing…

stat.ME2025

Scalable and robust regression models for continuous proportional data

Changwoo J. Lee, Benjamin K. Dahl, Otso Ovaskainen +1

Beta regression is used routinely for continuous proportional data, but it often encounters practical issues such as a lack of robustness to misspecification of the beta distributi…

q-bio.QM2025★ 3 cited

OptimOTU: Taxonomically aware OTU clustering with optimized thresholds and a bioinformatics workflow for metabarcoding data

Brendan Furneaux, Sten Anslan, Panu Somervuo +4

To turn environmentally derived metabarcoding data into community matrices for ecological analysis, sequences must first be clustered into operational taxonomic units (OTUs). This…

stat.AP2024★ 1 cited

Joint species distribution modeling of abundance data through latent variable barcodes

Braden Scherting, Otso Ovaskainen, David B. Dunson

Accelerating global biodiversity loss has highlighted the role of complex relationships and shared patterns among species in determining their responses to environmental changes. T…

q-bio.PE2024★ 89 cited

Novel community data in ecology -- properties and prospects

Florian Hartig, Nerea Abrego, Alex Bush +14

New technologies for acquiring biological information such as eDNA, acoustic or optical sensors, make it possible to generate spatial community observations at unprecedented scales…

stat.ME2021

Covariate-informed latent interaction models: Addressing geographic & taxonomic bias in predicting bird-plant interactions

Georgia Papadogeorgou, Carolina Bello, Otso Ovaskainen +1

Reductions in natural habitats urge that we better understand species' interconnection and how biological communities respond to environmental changes. However, ecological studies…

stat.ME2020

Bayesian nonparametric modelling of sequential discoveries

Alessandro Zito, Tommaso Rigon, Otso Ovaskainen +1

We aim at modelling the appearance of distinct tags in a sequence of labelled objects. Common examples of this type of data include words in a corpus or distinct species in a sampl…

stat.ME2020

Bayesian semiparametric long memory models for discretized event data

Antik Chakraborty, Otso Ovaskainen, David B. Dunson

We introduce a new class of semiparametric latent variable models for long memory discretized event data. The proposed methodology is motivated by a study of bird vocalizations in…

q-bio.PE2016

A numerical approach to determine mutant invasion fitness and evolutionary singular strategies

Coralie Fritsch, Fabien Campillo, Otso Ovaskainen

We propose a numerical approach to study the invasion fitness of a mutant and to determine evolutionary singular strategies in evolutionary structured models in which the competiti…

q-bio.PE2013★ 17 cited

Immigration-extinction dynamics of stochastic populations

Baruch Meerson, Otso Ovaskainen

How high should be the rate of immigration into a stochastic population in order to significantly reduce the probability of observing the population extinct? Is there any relation…

q-bio.PE2010

Stochastic models of population extinction

Otso Ovaskainen, Baruch Meerson

Theoretical ecologists have long sought to understand how the persistence of populations depends on biotic and abiotic factors. Classical work showed that demographic stochasticity…