A stopping rule for randomly sampling bipartite networks with fixed degree sequences
Fuente:
arXiv
Saved in:
| Main Author: | Neal, Zachary P. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast nonparametric spectral density estimation from irregularly sampled data
by: Geoga, Christopher J., et al.
Published: (2025)
by: Geoga, Christopher J., et al.
Published: (2025)
Beyond Independence: on Jointly Normal Priors in Bayesian Inversion
by: Nicholson, Ruanui, et al.
Published: (2026)
by: Nicholson, Ruanui, et al.
Published: (2026)
Denoising deterministic networks using iterative Fourier transforms
by: Frost, H. Robert
Published: (2026)
by: Frost, H. Robert
Published: (2026)
Ridge detection for nonstationary multicomponent signals with time-varying wave-shape functions and its applications
by: Su, Yan-Wei, et al.
Published: (2023)
by: Su, Yan-Wei, et al.
Published: (2023)
Network inference via approximate Bayesian computation. Illustration on a stochastic multi-population neural mass model
by: Ditlevsen, Susanne, et al.
Published: (2023)
by: Ditlevsen, Susanne, et al.
Published: (2023)
Efficient and Precise Calculation of the Confluent Hypergeometric Function
by: Herschtal, Alan
Published: (2024)
by: Herschtal, Alan
Published: (2024)
ARMA approximation of a Non-separable Spatio-Temporal Model with Fractional Smoothnesses in Space and Time
by: Furset, S. Knutsen, et al.
Published: (2026)
by: Furset, S. Knutsen, et al.
Published: (2026)
Parameter Estimation with Increased Precision for Elliptic and Hypo-elliptic Diffusions
by: Iguchi, Yuga, et al.
Published: (2022)
by: Iguchi, Yuga, et al.
Published: (2022)
Sparse optimization for estimating the cross-power spectrum in linear inverse models : from theory to the application in brain connectivity
by: Carini, Laura, et al.
Published: (2024)
by: Carini, Laura, et al.
Published: (2024)
On the mean-field limit for Stein variational gradient descent: stability and multilevel approximation
by: Weissmann, Simon, et al.
Published: (2024)
by: Weissmann, Simon, et al.
Published: (2024)
The Ensemble Kalman Filter for Dynamic Inverse Problems
by: Weissmann, Simon, et al.
Published: (2024)
by: Weissmann, Simon, et al.
Published: (2024)
Quantile Randomized Kaczmarz Algorithm with Whitelist Trust Mechanism
by: Shvaiko, Sofiia, et al.
Published: (2026)
by: Shvaiko, Sofiia, et al.
Published: (2026)
Cubature-based uncertainty estimation for nonlinear regression models
by: Bubel, Martin, et al.
Published: (2024)
by: Bubel, Martin, et al.
Published: (2024)
Unbiased Parameter Estimation of Partially Observed Diffusions using Diffusion Bridges
by: Alvarez, Miguel, et al.
Published: (2025)
by: Alvarez, Miguel, et al.
Published: (2025)
Numerically robust square root implementations of statistical linear regression filters and smoothers
by: Tronarp, Filip
Published: (2024)
by: Tronarp, Filip
Published: (2024)
Efficient spline orthogonal basis for representation of density functions
by: Burkotová, Jana, et al.
Published: (2024)
by: Burkotová, Jana, et al.
Published: (2024)
Analysis of Geometric Selection of the Data-Error Covariance Inflation for ES-MDA
by: Emerick, Alexandre A.
Published: (2018)
by: Emerick, Alexandre A.
Published: (2018)
Parameter Estimation for Partially Observed McKean-Vlasov Diffusions
by: Jasra, Ajay, et al.
Published: (2024)
by: Jasra, Ajay, et al.
Published: (2024)
Improving sampling efficacy on high dimensional distributions with thin high density regions using Conservative Hamiltonian Monte Carlo
by: McGregor, Geoffrey, et al.
Published: (2022)
by: McGregor, Geoffrey, et al.
Published: (2022)
Sequential multiple importance sampling for high-dimensional Bayesian inference
by: Binbin, Li, et al.
Published: (2025)
by: Binbin, Li, et al.
Published: (2025)
Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo
by: Nagar, Lorenzo, et al.
Published: (2023)
by: Nagar, Lorenzo, et al.
Published: (2023)
Optimal experimental design: Formulations and computations
by: Huan, Xun, et al.
Published: (2024)
by: Huan, Xun, et al.
Published: (2024)
Antithetic Multilevel Methods for Elliptic and Hypo-Elliptic Diffusions with Applications
by: Iguchi, Yuga, et al.
Published: (2024)
by: Iguchi, Yuga, et al.
Published: (2024)
Probabilistic Richardson Extrapolation
by: Oates, Chris. J., et al.
Published: (2024)
by: Oates, Chris. J., et al.
Published: (2024)
Fast and accurate conditioning for large-scale and online Gaussian process prediction problems
by: Arora, Samanyu, et al.
Published: (2026)
by: Arora, Samanyu, et al.
Published: (2026)
Fast Machine-Precision Spectral Likelihoods for Stationary Time Series
by: Geoga, Christopher J.
Published: (2024)
by: Geoga, Christopher J.
Published: (2024)
Parameter Estimation for Partially Observed Time-Changed SDEs
by: Zhao, Ke, et al.
Published: (2026)
by: Zhao, Ke, et al.
Published: (2026)
Bayesian optimal experimental design with Wasserstein information criteria
by: Helin, Tapio, et al.
Published: (2025)
by: Helin, Tapio, et al.
Published: (2025)
Roughness regularization for functional data analysis with free knots spline estimation
by: De Magistris, Anna, et al.
Published: (2024)
by: De Magistris, Anna, et al.
Published: (2024)
Acceptance or Rejection of Lots while Minimizing and Controlling Type I and Type II Errors
by: Ursini, Edson Luiz, et al.
Published: (2025)
by: Ursini, Edson Luiz, et al.
Published: (2025)
Measure transport with kernel mean embeddings
by: Wang, L., et al.
Published: (2024)
by: Wang, L., et al.
Published: (2024)
Latent Autoencoder Ensemble Kalman Filter for Nonlinear Data assimilation
by: Tong, Xin T., et al.
Published: (2026)
by: Tong, Xin T., et al.
Published: (2026)
Iterative execution of discrete and inverse discrete Fourier transforms with applications for signal denoising via sparsification
by: Frost, H. Robert
Published: (2022)
by: Frost, H. Robert
Published: (2022)
Kinetic Langevin Splitting Schemes for Constrained Sampling
by: Chada, Neil K., et al.
Published: (2026)
by: Chada, Neil K., et al.
Published: (2026)
Regression-aware decompositions
by: Tygert, Mark
Published: (2017)
by: Tygert, Mark
Published: (2017)
Multivariate Density Estimation via Variance-Reduced Sketching
by: Peng, Yifan, et al.
Published: (2024)
by: Peng, Yifan, et al.
Published: (2024)
Sequential Maximal Updated Density Parameter Estimation for Dynamical Systems with Parameter Drift
by: del-Castillo-Negrete, Carlos, et al.
Published: (2024)
by: del-Castillo-Negrete, Carlos, et al.
Published: (2024)
Statistical inference of probabilistic origin-destination demand using day-to-day traffic data
by: Ma, Wei, et al.
Published: (2019)
by: Ma, Wei, et al.
Published: (2019)
Variational Markov chain mixtures with automatic component selection
by: Miles, Christopher E., et al.
Published: (2024)
by: Miles, Christopher E., et al.
Published: (2024)
The upper-crossing/solution (US) algorithm for root-finding with strongly stable convergence
by: Li, Xun-Jian, et al.
Published: (2022)
by: Li, Xun-Jian, et al.
Published: (2022)
Similar Items
-
Fast nonparametric spectral density estimation from irregularly sampled data
by: Geoga, Christopher J., et al.
Published: (2025) -
Beyond Independence: on Jointly Normal Priors in Bayesian Inversion
by: Nicholson, Ruanui, et al.
Published: (2026) -
Denoising deterministic networks using iterative Fourier transforms
by: Frost, H. Robert
Published: (2026) -
Ridge detection for nonstationary multicomponent signals with time-varying wave-shape functions and its applications
by: Su, Yan-Wei, et al.
Published: (2023) -
Network inference via approximate Bayesian computation. Illustration on a stochastic multi-population neural mass model
by: Ditlevsen, Susanne, et al.
Published: (2023)