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PHASE 114 CANDIDATESITEM 2 / MSG 3229

→ Transfer Entropy family

Directed information flow: Schreiber, Rényi, multivariate non-uniform, continuous-local, multiscale EMD-based, cross-venue TE. Copula-entropy applications folded in.

Total
14
candidates
Not covered
14
passed novelty + audit
Covered
0
already shipped or claimed
FOSS ready
0
permissive licence
COVERAGE-BUCKET LANES click any candidate to jump to RESEARCH-DIGEST.md

Candidates against the existing coverage surface

Each candidate (filled circle) sits in the lane matching its coverage status. The dashed-circle ⊙ "ghost" markers in the PY-SCHEMA lane are existing open_deviation_bars columns from column_comments.py — your existing coverage surface.

Gemini deep-research
Claude deep-research
Both sources
Ghost: existing CH column

Full candidate table

14 rows · sorted by #

Coverage detail quotes the verdict source verbatim (file:line citation where applicable).

# Candidate Source Coverage Coverage detail FOSS @ SHA
#50 Bivariate Shannon Transfer Entropy both none passed 4-source novelty (IDTxl GPL-3.0) IDTxl@c7eacfd
#51 Rényi Transfer Entropy claude-dr none passed 4-source novelty (reimplement; IDTxl KSG + Rényi) no public implementation
#52 Multivariate non-uniform-embedding TE claude-dr none passed 4-source novelty IDTxl@c7eacfd
#53 Continuous local TE claude-dr none passed 4-source novelty IDTxl@c7eacfd
#54 Multiscale Transfer Entropy (EMD-based) gemini-dr none passed 4-source novelty (PyEMD + IDTxl combo) no public implementation
#55 TE: perpetual-swap → spot gemini-dr none passed 4-source novelty (data-side wrapper) IDTxl@c7eacfd
#56 TE: exchange-A → exchange-B gemini-dr none passed 4-source novelty (data-side wrapper) IDTxl@c7eacfd
#57 TE: BTC ↔ correlated equities claude-dr none passed 4-source novelty IDTxl@c7eacfd
#58 Copula-Entropy Transfer Entropy claude-dr none passed 4-source novelty (copula→TE; GPL-3.0) pycopent@9ff42da
#59 Conditional-independence test (copula entropy) claude-dr none passed 4-source novelty (copula application) pycopent@9ff42da
#60 Multivariate-normality test (copula entropy) claude-dr none passed 4-source novelty (copula application) pycopent@9ff42da
#61 Two-sample test (copula entropy) claude-dr none passed 4-source novelty (copula application) pycopent@9ff42da
#62 Change-point detection (copula entropy) claude-dr none passed 4-source novelty (copula application) pycopent@9ff42da
#63 Partial Information Decomposition (PID) claude-dr none passed 4-source novelty (TE-sibling: info-decomposition) IDTxl@c7eacfd PID / dit.pid

Cross-references