Tubikanec, Irene

1. A splitting method for SDEs with locally Lipschitz drift: Illustration on the FitzHugh-Nagumo model
   2021/01/04 by Evelyn Buckwar, Adeline Samson, Buckwar, Evelyn +5 · 5 citations
   Economics, Econometrics and Finance · Engineering · Mathematics · #Stochastic processes and financial applications #Fluid Dynamics and Turbulent Flows #Statistical Methods and Inference
2. Spectral Density-Based and Measure-Preserving ABC for partially observed\n diffusion processes. An illustration on Hamiltonian SDEs
   2019/03/04 by Evelyn Buckwar, Massimiliano Tamborrino, Buckwar, Evelyn +3 · 4 citations
   Computer Science · Mathematics · #62Mxx #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistics Theory (math.ST)
3. Inference for the stochastic FitzHugh-Nagumo model from real action potential data via approximate Bayesian computation
   2024/05/28 by Samson, Adeline, Tamborrino, Massimiliano, Tubikanec, Irene · 4 citations
   #60H10 #60H35 #65C30 #Computation (stat.CO) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics
4. Network inference via approximate Bayesian computation. Illustration on a stochastic multi-population neural mass model
   2023/06/27 by Susanne Ditlevsen, Ditlevsen, Susanne, Massimiliano Tamborrino +3 · 2 citations
   Mathematics · Neuroscience · #FOS: Computer and information sciences #FOS: Mathematics #Functional Brain Connectivity Studies #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Numerical Analysis (math.NA) #Statistical Methods and Bayesian Inference
5. Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length
   2023/09/05 by Kateřina Hlaváčková‐Schindler, Anna Melnykova, Hlavackova-Schindler, Katerina +3 · 1 citation
   Mathematics · #Point processes and geometric inequalities