Skip to main content
Ctrl+K
TEXAS - Home TEXAS - Home

Getting started

  • Installation
  • API Reference
  • Troubleshooting

Tutorial

  • TEXAS Interactive Tutorial
    • Module 1 — What is a Prior?
    • Module 2 — Bayesian Updating
    • Module 3 — The Calibration Curve Explorer
    • Module 4 — What MCMC Actually Does
    • Module 5 — Reading Your Results

Explainers

  • TEXAS Proxy System Model — Bayesian Inference Workflow
  • Model validation
  • TEXAS Stan Models: Ensemble vs Direct Sampling
  • Why Marginalization Improves Inverse TEXAS Sampling
  • Understanding reduce_sum and ll_chunk in TEXAS-PSM
  • Why Normal Instead of Cauchy Priors? 🤔
  • Finding the Nearest Ocean Pixel: How cKDTree Works
  • Repository
  • Open issue

Index

B | C | D | G | L | P | S

B

  • build_fwd_data() (in module TEXAS.data.builder)
  • build_invT_inputData() (in module TEXAS.data.builder)

C

  • compute_scaledRI() (in module TEXAS.predict)
  • create_summary_table() (in module TEXAS.diagnostics)

D

  • detect_model_and_params() (in module TEXAS.ensemble.detection)
  • download_all() (in module TEXAS.utils.download)
  • download_posteriors() (in module TEXAS.utils.download)
  • download_training_data() (in module TEXAS.utils.download)

G

  • generate_ensemble_auto() (in module TEXAS.ensemble.generator)
  • get_posterior() (in module TEXAS.stan.sampler)

L

  • list_posteriors() (in module TEXAS.stan.io)
  • load_posterior() (in module TEXAS.stan.io)
  • lookup_no3_from_woa() (in module TEXAS.data.ocean_lookup)

P

  • plot_prior_distributions() (in module TEXAS.plotting.prior_plot)
  • predict_proxy_from_T() (in module TEXAS.predict)
  • predict_T_from_proxyObs() (in module TEXAS.predict)

S

  • save_posterior() (in module TEXAS.stan.io)
  • set_cache_dir() (in module TEXAS.utils.paths)
  • summarize_sampler_diagnostics() (in module TEXAS.diagnostics)

By Ronnakrit Rattanasriampaipong

© Copyright 2023.