WarmupHMC.jl
  • Overview
  • Benchmark
  1. Linear warm-up: correlates of sampling efficiency
  2. P
  3. loss_curves-losscurve_sislob (dim: 15)
  • Linear warm-up: correlates of sampling efficiency
    • P
      • arK-arK (dim: 7)
      • arma-arma11 (dim: 4)
      • bball_drive_event_0-hmm_drive_0 (dim: 6)
      • bball_drive_event_1-hmm_drive_1 (dim: 6)
      • bones_data-bones_model (dim: 13)
      • butterfly-multi_occupancy (dim: 106)
      • diag_normal(6, 26) (dim: 6)
      • diamonds-diamonds (dim: 26)
      • dogs-dogs (dim: 3)
      • dogs-dogs_hierarchical (dim: 2)
      • dogs-dogs_log (dim: 2)
      • dogs-dogs_nonhierarchical (dim: 65)
      • dugongs_data-dugongs_model (dim: 4)
      • earnings-earn_height (dim: 3)
      • earnings-log10earn_height (dim: 3)
      • earnings-logearn_height (dim: 3)
      • earnings-logearn_height_male (dim: 4)
      • earnings-logearn_interaction (dim: 5)
      • earnings-logearn_interaction_z (dim: 5)
      • earnings-logearn_logheight_male (dim: 4)
      • eight_schools-eight_schools_centered (dim: 10)
      • eight_schools-eight_schools_noncentered (dim: 10)
      • election88-election88_full (dim: 90)
      • fims_Aus_Jpn_irt-2pl_latent_reg_irt (dim: 531)
      • full_normal(32, 290) (dim: 32)
      • full_normal(6, 7.9) (dim: 6)
      • full_normal(64, 150) (dim: 64)
      • garch-garch11 (dim: 4)
      • GLM_Binomial_data-GLM_Binomial_model (dim: 3)
      • GLM_Poisson_Data-GLM_Poisson_model (dim: 4)
      • GLMM_data-GLMM1_model (dim: 237)
      • GLMM_Poisson_data-GLMM_Poisson_model (dim: 45)
      • gp_pois_regr-gp_pois_regr (dim: 13)
      • gp_pois_regr-gp_regr (dim: 3)
      • hblr (dim: 26)
      • hblr100 (dim: 26)
      • hmm_example-hmm_example (dim: 4)
      • hmm_gaussian_simulated-hmm_gaussian (dim: 14)
      • hudson_lynx_hare-lotka_volterra (dim: 8)
      • irt_2pl-irt_2pl (dim: 144)
      • kidiq_with_mom_work-kidscore_interaction_c (dim: 5)
      • kidiq_with_mom_work-kidscore_interaction_c2 (dim: 5)
      • kidiq_with_mom_work-kidscore_interaction_z (dim: 5)
      • kidiq_with_mom_work-kidscore_mom_work (dim: 5)
      • kidiq-kidscore_interaction (dim: 5)
      • kidiq-kidscore_momhs (dim: 3)
      • kidiq-kidscore_momhsiq (dim: 4)
      • kidiq-kidscore_momiq (dim: 3)
      • kilpisjarvi_mod-kilpisjarvi (dim: 3)
      • logGCPP (dim: 64)
      • loss_curves-losscurve_sislob (dim: 15)
      • low_dim_gauss_mix_collapse-low_dim_gauss_mix_collapse (dim: 5)
      • low_dim_gauss_mix-low_dim_gauss_mix (dim: 5)
      • M0_data-M0_model (dim: 2)
      • Mb_data-Mb_model (dim: 3)
      • mcycle_gp-accel_gp (dim: 66)
      • mcycle_splines-accel_splines (dim: 82)
      • mesquite-logmesquite (dim: 8)
      • mesquite-logmesquite_logva (dim: 5)
      • mesquite-logmesquite_logvas (dim: 8)
      • mesquite-logmesquite_logvash (dim: 7)
      • mesquite-logmesquite_logvolume (dim: 3)
      • mesquite-mesquite (dim: 8)
      • Mh_data-Mh_model (dim: 388)
      • Mt_data-Mt_model (dim: 4)
      • Mtbh_data-Mtbh_model (dim: 154)
      • Mth_data-Mth_model (dim: 394)
      • nes_logit_data-nes_logit_model (dim: 2)
      • nes1972-nes (dim: 10)
      • nes1976-nes (dim: 10)
      • nes1980-nes (dim: 10)
      • nes1984-nes (dim: 10)
      • nes1988-nes (dim: 10)
      • nes1992-nes (dim: 10)
      • nes1996-nes (dim: 10)
      • nes2000-nes (dim: 10)
      • normal_2-normal_mixture (dim: 3)
      • normal_5-normal_mixture_k (dim: 14)
      • one_comp_mm_elim_abs-one_comp_mm_elim_abs (dim: 4)
      • pilots-pilots (dim: 18)
      • radon_all-radon_county_intercept (dim: 388)
      • radon_all-radon_hierarchical_intercept_centered (dim: 391)
      • radon_all-radon_hierarchical_intercept_noncentered (dim: 391)
      • radon_all-radon_partially_pooled_centered (dim: 389)
      • radon_all-radon_partially_pooled_noncentered (dim: 389)
      • radon_all-radon_pooled (dim: 3)
      • radon_all-radon_variable_intercept_centered (dim: 390)
      • radon_all-radon_variable_intercept_noncentered (dim: 390)
      • radon_all-radon_variable_intercept_slope_centered (dim: 777)
      • radon_all-radon_variable_intercept_slope_noncentered (dim: 777)
      • radon_all-radon_variable_slope_centered (dim: 390)
      • radon_all-radon_variable_slope_noncentered (dim: 390)
      • radon_mn-radon_county_intercept (dim: 87)
      • radon_mn-radon_hierarchical_intercept_centered (dim: 90)
      • radon_mn-radon_hierarchical_intercept_noncentered (dim: 90)
      • radon_mn-radon_partially_pooled_centered (dim: 88)
      • radon_mn-radon_partially_pooled_noncentered (dim: 88)
      • radon_mn-radon_pooled (dim: 3)
      • radon_mn-radon_variable_intercept_centered (dim: 89)
      • radon_mn-radon_variable_intercept_noncentered (dim: 89)
      • radon_mn-radon_variable_intercept_slope_centered (dim: 175)
      • radon_mn-radon_variable_intercept_slope_noncentered (dim: 175)
      • radon_mn-radon_variable_slope_centered (dim: 89)
      • radon_mn-radon_variable_slope_noncentered (dim: 89)
      • radon_mod-radon_county (dim: 389)
      • Rate_1_data-Rate_1_model (dim: 1)
      • Rate_2_data-Rate_2_model (dim: 2)
      • Rate_3_data-Rate_3_model (dim: 1)
      • Rate_4_data-Rate_4_model (dim: 2)
      • Rate_5_data-Rate_5_model (dim: 1)
      • rats_data-rats_model (dim: 65)
      • rstan_downloads-prophet (dim: 62)
      • sat-hier_2pl (dim: 669)
      • sblrc-blr (dim: 6)
      • sblri-blr (dim: 6)
      • science_irt-grsm_latent_reg_irt (dim: 408)
      • seeds_data-seeds_centered_model (dim: 26)
      • seeds_data-seeds_model (dim: 26)
      • seeds_data-seeds_stanified_model (dim: 26)
      • sesame_data-sesame_one_pred_a (dim: 3)
      • sir-sir (dim: 4)
      • soil_carbon-soil_incubation (dim: 6)
      • state_wide_presidential_votes-hierarchical_gp (dim: 933)
      • surgical_data-surgical_model (dim: 14)
      • Survey_data-Survey_model (dim: 1)
      • synthetic_grid_RBF_kernels-kronecker_gp (dim: 438)
      • three_docs1200-ldaK2 (dim: 7)
      • three_men1-ldaK2 (dim: 502)
      • three_men2-ldaK2 (dim: 510)
      • three_men3-ldaK2 (dim: 505)
      • timssAusTwn_irt-gpcm_latent_reg_irt (dim: 530)
      • wells_data-wells_daae_c_model (dim: 6)
      • wells_data-wells_dae_c_model (dim: 5)
      • wells_data-wells_dae_inter_model (dim: 7)
      • wells_data-wells_dae_model (dim: 4)
      • wells_data-wells_dist (dim: 2)
      • wells_data-wells_dist100_model (dim: 2)
      • wells_data-wells_dist100ars_model (dim: 3)
      • wells_data-wells_interaction_c_model (dim: 4)
      • wells_data-wells_interaction_model (dim: 4)
  1. Linear warm-up: correlates of sampling efficiency
  2. P
  3. loss_curves-losscurve_sislob (dim: 15)

loss_curves-losscurve_sislob (dim: 15)

Author

Nikolas Siccha

  • cor
  • cond
  • gps
  • stats
  • lo
  • oo
  • stan
  • nutpie
  • min_eff
  • mean_effs
  • expected_squared_jump
  • preconditioned_expected_squared_jump
  • min_eff
  • mean_effs
  • expected_squared_jump
  • preconditioned_expected_squared_jump
  • n_steps
  • divergent
  • max_abs_dH
  • log_acceptance_rate
  • expected_squared_jump
  • n_refinements
  • recovery_probability
  • preconditioned_expected_squared_jump
logGCPP (dim: 64)
low_dim_gauss_mix_collapse-low_dim_gauss_mix_collapse (dim: 5)