“The default parameter of KaKs_Calculator was set to estimate the Ka/Ks values, which means that the Ka/Ks value was the average of the output from 15 available algorithms comprising 7 original approximate methods and one maximum likelihood method.” In their analysis of the philogenic evolution of the potato species, the Nature authors resort to a […]

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## potato tomato [w/o ABC]

July 8, 2022## nonparametric ABC [seminar]

June 3, 2022Puzzle: How do you run ABC when you mistrust the model?! We somewhat considered this question in our misspecified ABC paper with David and Judith. An AISTATS 2022 paper by Harita Dellaporta (Warwick), Jeremias Knoblauch, Theodoros Damoulas (Warwick), and François-Xavier Briol (formerly Warwick) is addressing this same question and Harita presented the paper at the […]

## Concentration and robustness of discrepancy-based ABC [One World ABC ‘minar, 28 April]

April 15, 2022Our next speaker at the One World ABC Seminar will be Pierre Alquier, who will talk about “Concentration and robustness of discrepancy-based ABC“, on Thursday April 28, at 9.30am UK time, with an abstract reported below. Approximate Bayesian Computation (ABC) typically employs summary statistics to measure the discrepancy among the observed data and the synthetic data generated from each […]

## One World ABC seminar [31.3.22]

March 16, 2022The next One World ABC seminar is on Thursday 31 March, with David Warnes (from QUT) talking on Multifidelity multilevel Monte Carlo for approximate Bayesian computation It will take place at 10:30 CET (GMT+1). Models of stochastic processes are widely used in almost all fields of science. However, data are almost always incomplete observations of […]

## One World ABC seminar [24.2.22]

February 22, 2022The next One World ABC seminar is on Thursday 24 Feb, with Rafael Izbicki talking on Likelihood-Free Frequentist Inference – Constructing Confidence Sets with Correct Conditional Coverage. It will take place at 14:30 CET (GMT+1). Many areas of science make extensive use of computer simulators that implicitly encode likelihood functions of complex systems. Classical statistical […]