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Created with Raphaël 2.2.018Dec17161110532129Nov2827262523222113731Oct3028252422211816420Sep1918111095431Jul2925171615121Jun19181712111097654329May2827232221201615141310976328Mar252221201918118754128Feb26252221201913121124Jan2214319Dec1413121065430Nov2928272623211514139765230Oct29[Confidence Interval] add test for ci_normal for non-stationary gumbel models[Confidence Interval] use fix r.ci.fevd.mle_fixed for the Gumbel case in the Python code. fix the R code one more time for the gradient[Confidence Interval] fix r.ci.fevd.mle_fixed for the Gumbel case[PAPER 1] add comparison with gumbel model.[PAPER 1] add gumbel model. add cmap for shape parameter visualization. refactor trend_test folder[PAPER 1] add gumbel type for mle fit. add study_visualizer_for_shape_repartition both for gumbel VS stationary and stationary VS non-stationary[PAPER 1] add first version for the spatio temporal plot[PAPER 1] modify eurocode plots[PAPER 1] create relative change plot[PAPER 1] add multiprocessing for the trends. augment size of plots.[PAPER 1] fix some display issues. add dpi to plots. improve the quality of plots.[PAPER 1] add dpi=1000 to every plot from the paper for image quality. add some fix ylim when plotting return level for the Maurienne[PAPER 1] accelerate test confidence interval bayesian[PAPER 1] improve uncertainty plot. fix eurocode value for the histogram. modify number of bayesian iterations to 20000 for uncertainty plot[PAPER 1] improve all uncertainty plots[PAPER 1] add histogram plot[PAPER 1] add label to trend plot[PAPER 1] add legend for markers[PAPER 1] fix issue when ploting eurocode[PAPER 1] fix gelman convergence score formula, take the variance instead of the std. improve bayesian display[PAPER 1] add params_start_fit_bayesian for gelman convergence. add some random init param for the beginning of the MCMC chain.[PAPER 1] refactor folder names in the paper snow load folder. add mani gelman convergence test. add the possibility to change the number of iterations for the bayesian fevd estimation[PAPER 1] fix quantile for snow load in the case where psnow < 1 (i.e. for the mixed distribution case)[PAPER 1] fix the code for taking the argmax of some value. add some new classes for making comparison between various snow variables[PAPER 1] fix data plots[PAPER 1] fix ticks for colorbar. improve labels and cases where there is some missing labels[PAPER 1] add ticks to the colorbar for the trend. add histogram & marker to the uncertainty plot[PAPER 1] taking into account psnow when computing TDRL and also when computing return level uncertainties[PAPER 1] set starting year to None to avoid bug due to missing data for the year 1958 for instance[PAPER 1] major refactor for drawing uncertainty[PAPER 1] refactor folder. enable in a single script to evaluate trends and return level uncertainty[TREND ANALYSIS] add tdlr map with markers on it[TREND ANALYSIS] put MLE extreme package method as default mle method for trend analysis. add aic score in trend analysis. start study_visualizer for non stationary trends.add comparison plot with eurocodeadd eurocode snow loadadd eurocode plot for the paper 1refacot folder for the figure of the paper 1[Thesis committee drawing] improve GEV non stationary plots. rename ci_delta to ci_mle. catch some ci runtime exceptions. remove hatch/stripes drawing temporarily. fix unit for snow load. add new crocus classes & variable classes for snow load. modify conversion factor only for the new plots.[Paper drawing] add drawing for the MCMC sampling[Eurocode drawing] add grid. add function to compute the percentage of significant trend on an example