- PhD candidate in Statistics (University of São Paulo and UFSCar).
- Master in Statistics (University of São Paulo and UFSCar).
- Bachelor in Economics (University of São Paulo).
- Member of Stan development team.
Github profile: randommm.
Apostila de Stan (Portuguese): marcoinacio.com/stan.
Bayesian superposition of pure-birth destructive cure processes for tumor latency, Communications in Statistics - Simulation and Computation (Josemar Rodrigues, Marco Henrique de Almeida Inácio, Adriano K. Suzuki, Fernando Raimundo da Silva and Narayanaswamy Balakrishnan).
Comparing two populations using Bayesian Fourier series density estimation, Communications in Statistics - Simulation and Computation (Marco Henrique de Almeida Inácio, Rafael Izbicki and Luis Ernesto Salasar).
Introductory Python tutorial, focused specially on statisticians and machine learning: pytutorial.marcoinacio.com (alpha version).
Para baixar a apostila de introdução ao Stan ou demais materiais em português, veja: marcoinacio.com/port.
Python package which implements a density comparison method (for two samples) and a Fourier series nonparametric density estimation method: npcompare (beta version).
Professional interests: Statistics and machine learning, specially artificial neural networks, variational inference, variational autoencoders, Markov chain Monte Carlo and Bayesian inference. Programming (specially Python, C++, and R) and Probability.
Personal interests: Catholic Church, SSPX, Economics, classical music, gregorian chant, shooting sport, languages, the piano, traveling, Hungarian culture.