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franciscorichter

Francisco Richter Mendoza

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rgm simulation
Profiling study
HTML
Profiling Gmcmc
Results paper2
Seminar15Oct21
MFA
Inference in kinetic and graphical models
04Jan
12Nov
16Oct2018
exp
comptimescleancode
COnditionalProbGamma
Practical#7
Practical #6
Practical #5
GLM (1/M)
Practical #3
Segment problem
DvsL (NHPP)
Dimension vs Likelihood
MCEM
fixing the dimension
this report shows that if we fix the dimension then MCEM converges
Importance sampling
Survival
Survival and computational times
Chap 11
Statistical Modelling
last iteration
Last iteration of EM for method 1 with importance samplings of 10 and 100
The method #4
performance of the conditional expectation ltt method.
Equal likelihood trees
Complete phylogenetic tree (dd model) 100 iterations
SImulations to test the capability to get back parameters on complete phylogenies scenario.
Importance sampling - 100000 iterations
Comparison between ltt statistic ltt_stat and the importance weight
Complete phylogenetic tree (dd model)
Parameter estimations of complete phylogenetic trees
imp_samp100000iterations
MCEM simulations
Importance sampling. v2.
hwitli2
More experiments on the last iteration of the EM algorithm
Importance sampling. Part 2
Tests
last MCEM step
MCEM on phylogenetic trees
Complete phylogenetic tree (dd model)
Short description of the likelihood function of the complete tree and their implementation for the diversity dependence case.