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34 resources · Curated orderClear filters
Methods

bootstrap

SciPy documentation

The bootstrap reference explains percentile, basic and bias-corrected accelerated confidence intervals, paired resampling and computation controls.

Investigate How do interval coverage and width compare for a known skewed distribution at small sample sizes?

Listing reviewed · source terms apply
Methods

Compressed Sparse Graph Routines (scipy.sparse.csgraph)

SciPy documentation

A tutorial on algorithms for graphs represented as sparse matrices, illustrated through path finding.

Investigate Do sparse-graph path computations agree with exact enumeration on tiny weighted graphs containing disconnected components?

Listing reviewed · source terms apply
Methods

differential_evolution

SciPy documentation

A reference for population-based stochastic optimization with bounds, constraints, initialization, updating and random-state controls.

Investigate At equal objective-evaluation budgets, how often are known target values reached across independent initial populations?

Listing reviewed · source terms apply
Methods

Disciplined Convex Programming

CVXPY documentation

A guide to constructing optimization expressions with known signs and curvature under disciplined convex programming rules.

Investigate Can a small suite distinguish mathematically equivalent formulations that are accepted or rejected by the stated DCP rules?

Listing reviewed · source terms apply
Methods

Disciplined Parametrized Programming

CVXPY documentation

A guide to parameterized convex programs, repeated canonicalization and differentiating solution maps.

Investigate On a smooth, uniquely solved parameterized quadratic problem, do solution sensitivities agree with an analytic derivative?

Listing reviewed · source terms apply
Methods

Discrete Fourier Transforms (scipy.fft)

SciPy documentation

A reference for discrete Fourier, cosine, sine and Hankel transforms, including periodicity, normalization and computational caveats.

Investigate Can a transform pipeline recover known frequencies and amplitudes under declared sampling and normalization conventions?

Listing reviewed · source terms apply
Methods

false_discovery_control

SciPy documentation

A multiple-testing reference for adjusted p-values using Benjamini–Hochberg and Benjamini–Yekutieli procedures.

Investigate How do the two procedures differ on fixed p-value vectors and simulated dependent null tests?

Listing reviewed · source terms apply
Methods

Generalized Estimating Equations

statsmodels documentation

A reference for generalized estimating equations with clustered outcomes and explicit working-dependence structures.

Investigate How does a misspecified working correlation affect coefficient error and robust standard-error coverage?

Listing reviewed · source terms apply
Methods

Generalized Linear Models

statsmodels documentation

A generalized-linear-model reference connecting response families, link functions, variance functions and fitted results.

Investigate How does an intentionally misspecified response family alter uncertainty and predictive fit on evaluator-generated count data?

Listing reviewed · source terms apply
Methods

Integration (scipy.integrate)

SciPy documentation

An official guide to quadrature from functions or samples, multiple integration and initial-value ODE solving.

Investigate How do selected quadrature rules behave on smooth, oscillatory and endpoint-singular functions with independently known integrals?

Listing reviewed · source terms apply
Methods

Interpolation (scipy.interpolate)

SciPy documentation

An interpolation guide organized by data geometry, smoothness and shape requirements, including structured and scattered data.

Investigate When monotone samples are supplied, which interpolants preserve monotonicity and what approximation error do they incur?

Listing reviewed · source terms apply
Methods

least_squares

SciPy documentation

A reference for bounded nonlinear least squares, including Jacobians, robust losses, scaling and termination behavior.

Investigate How do robust-loss choice and variable scaling affect parameter recovery and residual error in a controlled contaminated-data fit?

Listing reviewed · source terms apply

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