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Should problem-specific subpackages (fips.problems.flux, ...) live in the fips repo?
#7 · jmineau opened on Oct 5, 2026
1
Estimator layer: support non-analytic posteriors (umbrella for 4D-Var, EnKF, hierarchical MCMC, bounds, hyperparameter estimation)
#21 · jmineau opened on Oct 5, 2026
2

Matrix from a scalar: a full matrix with an index, a confusing error without one, and 0-d arrays fall through
jmineau/fips#50 · opened on Oct 11, 2026
Clear the pyrefly baseline (69 entries), in slices
jmineau/fips#43 · opened on Oct 11, 2026
3
InversionPipeline: stamp provenance (fips version, config, estimator kwargs) on results; cache H
jmineau/fips#30 · opened on Oct 6, 2026
Estimators declare required / optional inputs and options; validate before construction (CoFI pattern)
jmineau/fips#29 · opened on Oct 6, 2026
FluxProblem: background offsets as an explicit, correlated state block
jmineau/fips#28 · opened on Oct 6, 2026
Diagnostics: Rodgers χ² consistency tests with dof and p-values, Shannon information content, per-element DOFS
jmineau/fips#27 · opened on Oct 6, 2026
Linear-functional (forecast) variance and data-worth analysis over observation blocks
jmineau/fips#26 · opened on Oct 6, 2026
Hyperparameter ensemble: product over (σ_prior, σ_obs, γ, …) with a selection rule and ensemble spread
jmineau/fips#25 · opened on Oct 6, 2026
Rank-aware covariance conditioning at build time (eigenvalue clipping, trace-relative loading, condition warning)
jmineau/fips#24 · opened on Oct 6, 2026
Posterior covariance and averaging kernel: diagonal / aggregated by default, full n×n only on request
jmineau/fips#23 · opened on Oct 6, 2026
Bayesian estimator: whitened eigen-solve instead of factoring H S₀ Hᵀ + S_z directly
jmineau/fips#22 · opened on Oct 6, 2026
Estimator layer: support non-analytic posteriors (umbrella for 4D-Var, EnKF, hierarchical MCMC, bounds, hyperparameter estimation)
jmineau/fips#21 · opened on Oct 5, 2026
2
OSSE and diagnostic utilities from SSIM-GHG: synthetic data, bias/mis-specification tests, K influence, L-curve, posterior sampling
jmineau/fips#20 · opened on Oct 5, 2026
1
Non-negativity and physical bounds on the state: bounded QP, transforms, or truncated MCMC
jmineau/fips#19 · opened on Oct 5, 2026
1
Hierarchical Bayesian model with MCMC over covariance hyperparameters (and non-Gaussian x)
jmineau/fips#18 · opened on Oct 5, 2026
Estimate covariance hyperparameters by marginal likelihood (ML/REML) instead of chi-squared sweeps
jmineau/fips#17 · opened on Oct 5, 2026
Ensemble Kalman (EnSRF) estimator and sequential, lag-window assimilation
jmineau/fips#16 · opened on Oct 5, 2026
Variational (4D-Var-style) estimator: preconditioned gradient minimisation with bounds
jmineau/fips#15 · opened on Oct 5, 2026
README leads with flux-specific examples; lead with a domain-neutral one
jmineau/fips#14 · opened on Oct 5, 2026
Default estimator as a class attribute; drop FluxProblem.solve override; fix stale fips.problems docstring
jmineau/fips#13 · opened on Oct 5, 2026
InverseProblem relies on the private Estimator._output_meta manifest
jmineau/fips#12 · opened on Oct 5, 2026
2
Flux block names "flux"/"concentration" are hardcoded string literals
jmineau/fips#11 · opened on Oct 5, 2026
FluxInversionPipeline.filter_state_space ignores min_sims_per_interval and never filters the state
jmineau/fips#10 · opened on Oct 5, 2026
InversionPipeline.run has no hook between building inputs and solving, so slv reimplements run()
jmineau/fips#9 · opened on Oct 5, 2026
Pipelines print() instead of logging; summarize() prints and discards its statistics
jmineau/fips#8 · opened on Oct 5, 2026