项目作者: haziqj

项目描述 :
My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)
高级语言: TeX
项目地址: git://github.com/haziqj/phd-thesis.git
创建时间: 2018-01-30T08:26:57Z
项目社区:https://github.com/haziqj/phd-thesis

开源协议:

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04-phase1_1649035805123.pdf
04-phase2_1649035805156.pdf
04-phase3_1649035805214.pdf
04-phase4_1649035805258.pdf
04-phase5_1649035805299.pdf
04-phase6_1649035805314.pdf
04-phase7_1649035805357.pdf
04-phase8_1649035805396.pdf
04-post_reg_cred_1649035805426.pdf
04-post_reg_posterior_1649035805452.pdf
04-post_reg_ppc_1649035805536.pdf
04-post_reg_prior_1649035805594.pdf
04-post_reg_prior_post_1649035805691.pdf
04-tecator_data-1_1649035805802.pdf
05-cardiac_mod_full_plot-1_1649035805845.pdf
05-cardiac_mod_full_plot-2_1649035805858.pdf
05-example_data_1649035805893.pdf
05-fit_hmc_1649035805908.pdf
05-fit_lap_1649035805927.pdf
05-fit_vi_1649035805982.pdf
05-iprobit_runtime_1649035806010.pdf
05-plot_cornwall-1_1649035806112.pdf
05-plot_cow-1_1649035806154.pdf
05-plot_data_smoke-1_1649035806168.pdf
05-smoke_forest_plot-1_1649035806187.pdf
05-vowel_confusion_matrix-1_1649035806238.pdf
05-vowel_confusion_matrix-2_1649035806290.pdf
05-vowel_confusion_matrix-3_1649035806393.pdf
06-aerobic_coef_1649035806418.pdf
06-sens_analysis_1649035806478.pdf
phd-thesis-errata-f378773_1649035806599.pdf
phd-thesis-submission-54d04a8-compressed_1649035807372.pdf
phd-thesis_1649035807880.pdf
chapter1_1649035792300.pdf
chapter2_1649035792392.pdf
02-conv_in_norm_1649035792515.pdf
02-kernel_path_canonical_1649035792631.pdf
02-kernel_path_const_1649035792709.pdf
02-kernel_path_fbm_1_1649035792776.pdf
02-kernel_path_fbm_3_1649035792842.pdf
02-kernel_path_fbm_5_1649035792898.pdf
02-kernel_path_fbm_7_1649035792966.pdf
02-kernel_path_pearson_1649035793032.pdf
02-kernel_path_se_01_1649035793092.pdf
02-kernel_path_se_05_1649035793133.pdf
02-kernel_path_se_10_1649035793177.pdf
chapter3_1649035793217.pdf
chapter4_1649035793346.pdf
04-IGF_mod_iprior_plot-1_1649035793609.pdf
04-IGF_plot_beta-1_1649035793713.pdf
04-cows_plot-1_1649035793777.pdf
04-example_data_1649035793898.pdf
04-iprior_runtime_1649035793978.pdf
04-iprior_size_1649035794033.pdf
04-nystrom_plot-1_1649035794098.pdf
04-nystrom_plot-2_1649035794179.pdf
04-phase1_1649035794243.pdf
04-phase2_1649035794313.pdf
04-phase3_1649035794396.pdf
04-phase4_1649035794466.pdf
04-phase5_1649035794515.pdf
04-phase6_1649035794586.pdf
04-phase7_1649035794635.pdf
04-phase8_1649035794672.pdf
04-post_reg_cred_1649035794725.pdf
04-post_reg_posterior_1649035794792.pdf
04-post_reg_ppc_1649035794850.pdf
04-post_reg_prior_1649035794964.pdf
04-post_reg_prior_post_1649035795107.pdf
04-tecator_data-1_1649035795247.pdf
chapter5_1649035795331.pdf
02-kernel_path_se_05_1649035795659.pdf
05-cardiac_mod_full_plot-1_1649035795674.pdf
05-cardiac_mod_full_plot-2_1649035795759.pdf
05-example_data_1649035795816.pdf
05-fit_hmc_1649035795873.pdf
05-fit_lap_1649035795937.pdf
05-fit_vi_1649035795983.pdf
05-iprobit_runtime_1649035796059.pdf
05-plot_cornwall-1_1649035796147.pdf
05-plot_cow-1_1649035796240.pdf
05-plot_data_smoke-1_1649035796294.pdf
05-smoke_forest_plot-1_1649035796844.pdf
05-vowel_confusion_matrix-1_1649035796943.pdf
05-vowel_confusion_matrix-2_1649035796998.pdf
05-vowel_confusion_matrix-3_1649035797054.pdf
chapter6_1649035798055.pdf
06-aerobic_coef_1649035798196.pdf
06-sens_analysis_1649035800948.pdf
bvs_simres_1649035801045.pdf
chapter7_1649035801156.pdf
02-conv_in_norm_1649035801235.pdf
02-kernel_path_canonical_1649035801279.pdf
02-kernel_path_const_1649035801323.pdf
02-kernel_path_fbm_1_1649035801379.pdf
02-kernel_path_fbm_3_1649035801427.pdf
02-kernel_path_fbm_5_1649035801458.pdf
02-kernel_path_fbm_7_1649035801512.pdf
02-kernel_path_pearson_1649035801568.pdf
02-kernel_path_se_01_1649035801606.pdf