19 problems
- 0 votes0 replies2 views
Product conjecture for Patnaik–Pearson dimension of random matrix products
Let and be regularly varying random variables, with tail exponents and , respectively. Let and be random matrices in general position,…
- 0 votes0 replies0 views
The super-Cauchy characterization conjecture for distributions in \mathcal{D}^-
Let be the class of distributions considered in the paper, and let denote the class of super-Cauchy distributions. Super-Cauchy characterization con…
- 0 votes0 replies0 views
Conjecture on dependence between standardized trace and extreme-value point process
Dependence conjecture. and will not be asymptotically independent anymore. The conjecture concerns the joint limit behavior of the standardized trace and the point proc…
- 0 votes0 replies0 views
The scale-free conjecture for infinity-PageRank
Scale-free infinity-PageRank conjecture. If where is a regularly varying random variable, then will also be scale-free.
- 0 votes0 replies0 views
Weak long-tail runtime conjecture for Alfa and selected SLS solvers
Weak Conjecture. The runtime of with is long-tailed.
- 0 votes0 replies0 views
Tail-linearity explanation for NSF-layer generalization
Consider normalizing flows built from NSF layers, where the tails of each NSF layer are linear. Tail-linearity conjecture. The observed improved performance in low-sample tail regi…
- 0 votes0 replies0 views
Conjecture on the tail asymptotics of the in- and out-degree difference
Tail-asymptotics conjecture. Under this moment bound, for ,
- 0 votes0 replies0 views
Moment criterion conjecture for ultra-small distances
Let and the uniformly chosen vertices be as in Theorem … , there is a constant depending on the model parameters such…
- 0 votes0 replies0 views
Validity of tail-index results under fork-join stability
Stability conjecture. The tail-index results should be valid whenever the original fork-join model is stable.
- 0 votes0 replies0 views
Tail statistics of a sum of heavy-tailed random matrix ensembles
Let be independently (not necessarily identically) distributed random matrices with heavy tails and unitary invariance, meaning that their eigenvalues and eigenvec…
- 0 votes0 replies0 views
The PSBJ tail asymptotics conjecture for the boundary branching process
Consider the fixed-point branching process with state-independent immigration represented as … where , the variables are independent and identically distributed, a…
- 0 votes0 replies0 views
The tail-equivalence conjecture for multiclass queue busy periods
Let denote the busy period associated with class , let be the reference service-time distribution with tail , and let be the coefficient…
- 0 votes0 replies0 views
Conjecture on covariance underestimation in Kalman filtering with heavy-tailed state noise
The paper considers linear state-space models with Gaussian measurement noise and state-equation noises whose components have alpha-stable distributions with parameters alpha and b…
- 0 votes0 replies0 views
Lévy-measure convolution-root conjecture for infinitely divisible distributions
Let be an infinitely divisible distribution, and let the distribution generated by its Lévy spectral measure be denoted by . Let , for , d…
- 0 votes0 replies0 views
Compound-distribution convolution-root conjecture for long-tailed classes
Let be a distribution, let denote its -fold convolution, and let satisfy … The corresponding compound distribution is . Let…
- 0 votes0 replies0 views
The single-big-jump distribution-class decomposition conjecture
Let denote the class of distributions obeying the principle of a single big jump, let be the class of heavy-tailed distributions, and let…
- 0 votes0 replies0 views
Conjecture on timely task delivery under infinite-mean deadlines
Let task deadlines follow the Pareto distribution described above, with parameter , so that no moments of the deadline distribution exist. Timely-delivery conjecture.…
- 0 votes0 replies0 views
Power-law distributions dominate certain financial, economic and social phenomena
Power-law dominance conjecture. Power-law distributions, particularly those based on self-organized critical models, rather than commonly used Gaussian-like exponential forms, coul…
- 0 votes0 replies0 views
Aubrun's conjecture for covariance matrices of heavy-tailed unit-vector distributions
Let , and let be the ambient dimension. Consider any distribution on unit vectors in a -dimensional space whose norm is at most . Let be the…