Corander, Jukka

1. Likelihood-free inference by ratio estimation
   2016/11/30 by Thomas, Owen, Dutta, Ritabrata, Corander, Jukka +2 · 12 citations
   #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
2. Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models
   2015/01/14 by Michael U. Gutmann, Jukka Corander, Gutmann, Michael U. +1 · 8 citations
   Computer Science · Decision Sciences · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Simulation Techniques and Applications #Model Reduction and Neural Networks
3. Prior knowledge elicitation: The past, present, and future
   2021/12/01 by Petrus Mikkola, Mikkola, Petrus, Osvaldo A. Martin +21 · 10 citations
   Computer Science · Mathematics · Decision Sciences · #Bayesian Modeling and Causal Inference #Statistical Methods and Bayesian Inference #Forecasting Techniques and Applications
4. Adaptive Approximate Bayesian Computation Tolerance Selection
   2019/06/21 by Simola, Umberto, Cisewski-Kehe, Jessica, Gutmann, Michael U. +1 · 3 citations
   #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME)
5. Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC
   2021/04/08 by Marko Järvenpää, Jukka Corander, Järvenpää, Marko +1 · 3 citations
   Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Statistical Methods and Bayesian Inference
6. On the inconsistency of ℓ₁-penalised sparse precision matrix estimation
   2016/03/08 by Heinävaara, Otte, Leppä-aho, Janne, Corander, Jukka +1 · 1 citation
   #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Misspecification-robust likelihood-free inference in high dimensions
   2020/02/21 by Owen Thomas, Thomas, Owen, Raquel Sá‐Leão +9 · 1 citation
   Computer Science · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME)
8. T-SNE Is Not Optimized to Reveal Clusters in Data
   2021/10/06 by Zhirong Yang, Yuwei Chen, Yang, Zhirong +3 · 1 citation
   Computer Science · #Advanced Clustering Algorithms Research #FOS: Computer and information sciences #Face and Expression Recognition #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
9. ABC of the Future
   2021/12/23 by Henri Pesonen, Pesonen, Henri, Umberto Simola +19 · 1 citation
   Computer Science · Mathematics · #Applications (stat.AP) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
10. Likelihood-free inference via classification
    2014/07/18 by Michael U. Gutmann, Ritabrata Dutta, Gutmann, Michael U. +5 · 1 citation
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Methodology (stat.ME)
11. Global and local epidemiology of Group A Streptococcus indicates that naturally-acquired immunity is enduring and strain-specific
    2021/11/11 by Rebecca H. Chisholm, Jake A. Lacey, Chisholm, Rebecca H. +17 · 1 citation
    Medicine · #Streptococcal Infections and Treatments #Antimicrobial Resistance in Staphylococcus #Neonatal and Maternal Infections
12. Surrogate-based ABC matches generalized Bayesian inference under specific discrepancy and kernel choices
    2025/02/17 by Marko Järvenpää, Jukka Corander, Järvenpää, Marko +3 · 1 citation
    Mathematics · Decision Sciences · Computer Science · #Statistical Methods and Inference #Probabilistic and Robust Engineering Design #Bayesian Methods and Mixture Models