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Probabilistic models with deep neural networks

Masegosa, Andrés R. ; Cabañas, Rafael ; Langseth, Helge ; Nielsen, Thomas D. ; Salmerón, Antonio

In: Entropy, 2021, vol. 23, no. 1, p. 27 p

Recent advances in statistical inference have significantly expanded the toolbox of probabilistic modeling. Historically, probabilistic modeling has been constrained to very restricted model classes, where exact or approximate probabilistic inference is feasible. However, developments in variational inference, a general form of approximate probabilistic inference that originated in statistical...

Patterns, causes and consequences of genome size variation in Restionaceae of the Cape flora

Linder, H. Peter ; Suda, Jan ; Weiss-Schneeweiss, Hanna ; Trávníček, Pavel ; Bouchenak-Khelladi, Yanis

In: Botanical Journal of the Linnean Society, 2017, vol. 183, no. 4, p. 515-531

Bayesian inference, dysconnectivity and neuromodulation in schizophrenia

Stephan, Klaas E. ; Diaconescu, Andreea O. ; Iglesias, Sandra

In: Brain, 2016, vol. 139, no. 7, p. 1874-1876

Bayesian inference on stochastic gene transcription from flow cytometry data

Tiberi, Simone ; Walsh, Mark ; Cavallaro, Massimo ; Hebenstreit, Daniel ; Finkenstädt, Bärbel

In: Bioinformatics, 2018, vol. 34, no. 17, p. i647-i655

A Bayesian approach for comparing cross-validated algorithms on multiple data sets

Corani, Giorgio ; Benavoli, Alessio

In: Machine Learning, 2015, vol. 100, no. 2-3, p. 285-304

Cosmological evolution of the gravitational entropy of the large-scale structure

Marozzi, Giovanni ; Uzan, Jean-Philippe ; Umeh, Obinna ; Clarkson, Chris

In: General Relativity and Gravitation, 2015, vol. 47, no. 10, p. 1-19

Accelerating Bayesian inference for evolutionary biology models

Meyer, Xavier ; Chopard, Bastien ; Salamin, Nicolas ; Kelso, Janet ; Kelso, Janet

In: Bioinformatics, 2017, vol. 33, no. 5, p. 669-676

MAcroecological Framework for Invasive Aliens (MAFIA): disentangling large-scale context dependence in biological invasions

Pyšek, Petr ; Bacher, Sven ; Kühn, Ingolf ; Novoa, Ana ; Catford, Jane A. ; Hulme, Philip E. ; Pergl, Jan ; Richardson, David M. ; Wilson, John R. U. ; Blackburn, Tim M.

In: NeoBiota, 2020, vol. 62, p. 407–461

Macroecology is the study of patterns, and the processes that determine those patterns, in the distribution and abundance of organisms at large scales, whether they be spatial (from hundreds of kilometres to global), temporal (from decades to centuries), and organismal (numbers of species or higher taxa). In the context of invasion ecology, macroecological studies include, for example,...

The importance of assessing positive and beneficial impacts of alien species

Vimercati, Giovanni ; Kumschick, Sabrina ; Probert, Anna F. ; Volery, Lara ; Bacher, Sven

In: NeoBiota, 2020, vol. 62, p. 525–545

Extensive literature is available on the diversity and magnitude of impacts that alien species cause on recipient systems. Alien species may decrease or increase attributes of ecosystems (e.g. total biomass or species diversity), thus causing negative and positive environmental impacts. Alien species may also negatively or positively impact attributes linked to local human communities (e.g....

Frameworks used in invasion science: progress and prospects

Wilson, John R.U. ; Bacher, Sven ; Daehler, Curtis C. ; Groom, Quentin J. ; Kumschick, Sabrina ; Lockwood, Julie L. ; Robinson, Tamara B. ; Zengeya, Tsungai A. ; Richardson, David M.

In: NeoBiota, 2020, vol. 62, p. 1–30

Our understanding and management of biological invasions relies on our ability to classify and conceptualise the phenomenon. This need has stimulated the development of a plethora of frameworks, ranging in nature from conceptual to applied. However, most of these frameworks have not been widely tested and their general applicability is unknown. In order to critically evaluate frameworks in...