Osvaldo Antonio Martin
Research Fellow
Research Fellow
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
Email
osvaldo.martin@aalto.fi
Phone number
+358503244602
Research groups
- Probabilistic Machine Learning, Research Fellow
- Professorship Vehtari Aki, Research Fellow
Publications
ArviZ: a modular and flexible library for exploratory analysis of Bayesian models
Osvaldo A Martin, Oriol Abril-Pla, Jordan Deklerk, Seth D. Axen, Colin Carroll, Ari Hartikainen, Aki Vehtari
2026
Journal of Open Source Software
Exploratory analysis of Bayesian models
Osvaldo Martin, Oriol Abril-Pla, Jordan Deklerk
2025
Bayesian Analysis with Python: A practical guide to probabilistic modeling
Osvaldo Martin
2024
Prior knowledge elicitation: The past, present, and future
Petrus Mikkola, Osvaldo Martin, Suyog Halasinamara Chandramouli, Marcelo Hartmann, Oriol Abril Pla, Owen Thomas, Henri Pesonen, Jukka Corander, Aki Vehtari, Samuel Kaski, Paul-Christian Burkner, Arto Klami
2024
Bayesian Analysis
PyMC : a modern, and comprehensive probabilistic programming framework in Python
Oriol Abril-Pla, Virgile Andreani, Colin Carroll, Larry Dong, Christopher J. Fonnesbeck, Maxim Kochurov, Ravin Kumar, Junpeng Lao, Christian C. Luhmann, Osvaldo A. Martin, Michael Osthege, Ricardo Vieira, Thomas Wiecki, Robert Zinkov
2023
PeerJ Computer Science
PreliZ: A tool-box for prior elicitation
Alejandro Icazatti, Oriol Abril-Pla, Arto Klami, Osvaldo A Martin
2023
Journal of Open Source Software
Modeling Rainwater Harvesting and Storage Dynamics of Rural Impoundments in Dry Chaco Rangelands
Marcos Javier Niborski, Osvaldo Antonio Martin, Francisco Murray, Esteban Gabriel Jobbágy, Marcelo Daniel Nosetto, Ricardo Andrés Paez, Patricio Nicolás Magliano
2023
Water
Bambi: A simple interface for fitting Bayesian linear models in Python
Tomás Capretto, Camen Piho, Ravin Kumar, Jacob Westfall, Tal Yarkoni, Osvaldo Martin
2022
Journal of Statistical Software
A call for changing data analysis practices: from philosophy and comprehensive reporting to modeling approaches and back
Osvaldo A. Martin, François P. Teste
2022
Plant and Soil
Bayesian Modeling and Computation in Python
Osvaldo Martin, Ravin Kumar, Junpeng Lao
2021