Tag Archives: ABC

Algorithms Discussion Group: ABC Continued

Our lit­tle infor­mal ABC group met again today to con­tinue our dis­cus­sion of ABC meth­ods from last week. The updated code is included in the gist below.1 The pos­te­rior dis­tri­b­u­tion from the regres­sion The regres­sion is used to deter­mine the pos­te­rior dis­tri­b­u­tion of the para­me­ter. We want to move each the observed val­ues down along

Monday: ABC Meeting

Yaniv has started an algo­rithms dis­cus­sion group. We just met with a few  stu­dents to dis­cuss imple­ment­ing Approx­i­mate Bayesian Com­put­ing meth­ods from scratch.  Most of us had read and   but also fol­lowed most help­ful dur­ing the ses­sion. This gets us as far as the regres­sion step, Fig­ure 1 of .  This in part dis­tin­guishes

Brian O’Meara discusses new ABC approaches on Phyloseminar

Brian gave an excel­lent overview of Approx­i­mate Bayesian Com­put­ing (ABC) and described the TreEvo soft­ware he is devel­op­ing with post-doc Barb Ban­bury. My notes from the sem­i­nar, with my own com­ments ital­ics and  a few added ref­er­ences Intro / Moti­va­tion Rates of model inno­va­tion is rather slow Can be impos­si­ble to spec­ify in closed form