Unverified50% confidenceFactExact time
The distribution obtained from joint conditioning is no longer Gaussian, but remains computable via truncated-Gaussian moments.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen ρ has covariance Σ, the prior Gibbs distribution corresponding to the conjugate decomposition has covariance Σ^(1/3), causing the prior to also be dispersed when ρ is dispersed, resulting in better alignment between the two and preventing the Lipschitz constant from exploding.68% similarUnverifiedThe convolution theorem of the Fourier transform states that convolution in the time domain is equivalent to multiplication in the frequency domain.66% similarUnverifiedThe squared modulus in the Born rule is naturally non-negative, and after normalization automatically satisfies the probability distribution constraint, without needing to rely on an exponential function to enforce non-negativity as Softmax does.63% similarUnverifiedThe ubiquity of the Gaussian distribution stems from the central limit theorem, which states that the sum of a large number of independent random variables tends toward a normal distribution.63% similarUnverifiedFor non-quadratic distribution families with bounded third-order skewness and finite Fisher–Rao diameter, R is bounded by a constant independent of dimension d.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1002254API
curl https://kongchang.com/api/v1/knowledge/claims/1002254MCP
get_claim(id=1002254)