Estimation of the self-similarity parameter in linear fractional stable motion. - Stilian Stoev; Vladas Pipiras; Murad S. Taqqu (Signal Process., 2002)

Wavelet-based synthesis of the Rosenblatt process. - Patrice Abry; Vladas Pipiras (Signal Process., 2006)

Heavy traffic limits in a wireless queueing model with long range dependence. - Robert T. Buche; Arka Ghosh 004; Vladas Pipiras (CDC, 2007)

Long Range Dependence, Unbalanced Haar Wavelet Transformation and Changes in Local Mean Level. - Changryong Baek; Vladas Pipiras (Int. J. Wavelets Multiresolution Inf. Process., 2009)

Multifractal random walks as fractional Wiener integrals. - Patrice Abry; Pierre Chainais; Laure Coutin; Vladas Pipiras (IEEE Trans. Inf. Theory, 2009)

Fast and exact synthesis of stationary multivariate Gaussian time series using circulant embedding. - Hannes Helgason; Vladas Pipiras; Patrice Abry (Signal Process., 2011)

Synthesis of multivariate stationary series with prescribed marginal distributions and covariance using circulant matrix embedding. - Hannes Helgason; Vladas Pipiras; Patrice Abry (Signal Process., 2011)

Estimation of flow distributions tails from sampled traffic. - Nelson Antunes; Vladas Pipiras (SSP, 2012)

Inverting flow durations from sampled traffic. - Nelson Antunes; Vladas Pipiras (ITC, 2012)

On the vaguelet and Riesz properties of L2-unbounded transformations of orthogonal wavelet bases. - Gustavo Didier; Stéphane Jaffard; Vladas Pipiras (J. Approx. Theory, 2013)

Sampling and censoring in estimation of flow distributions. - Nelson Antunes; Vladas Pipiras (ICC, 2015)

Estimation of Flow Distributions from Sampled Traffic. - Nelson Antunes; Vladas Pipiras (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016)

Skampling for the Flow Duration Distribution. - Nelson Antunes; Vladas Pipiras; Darryl Veitch (ITC, 2017)

Sparse seasonal and periodic vector autoregressive modeling. - Changryong Baek; Richard A. Davis; Vladas Pipiras (Comput. Stat. Data Anal., 2017)

Sampling-based Estimation of In-degree Distribution with Applications to Directed Complex Networks. - Nelson Antunes; Shankar Bhamidi; Tianjian Guo; Vladas Pipiras; Bang Wang 003 (CoRR, 2018)

Asymptotic results for multivariate local Whittle estimation with applications. - Marie-Christine Düker; Vladas Pipiras (CAMSAP, 2019)

Induced Edge Samplings and Triangle Count Distributions in Large Networks. - Nelson Antunes; Tianjian Guo; Vladas Pipiras (COMPLEX NETWORKS (2), 2019)

Regularized inversion of flow size distribution. - Nelson Antunes; Vladas Pipiras; Gonçalo Jacinto (INFOCOM, 2019)

Characterizing Frequency-Selective Network Vulnerability for Alzheimer's Disease by Identifying Critical Harmonic Patterns. - Benjamin Leinwand; Guorong Wu 001; Vladas Pipiras (ISBI, 2020)

Two sample tests for high-dimensional autocovariances. - Changryong Baek; Kathleen M. Gates; Benjamin Leinwand; Vladas Pipiras (Comput. Stat. Data Anal., 2021)

Sampling Based Estimation of In-Degree Distribution for Directed Complex Networks. - Nelson Antunes; Shankar Bhamidi; Tianjian Guo; Vladas Pipiras; Bang Wang 003 (J. Comput. Graph. Stat., 2021)

Sampling methods and estimation of triangle count distributions in large networks. - Nelson Antunes; Tianjian Guo; Vladas Pipiras (Netw. Sci., 2021)

Learning Attribute Distributions Through Random Walks. - Nelson Antunes; Shankar Bhamidi; Vladas Pipiras (COMPLEX NETWORKS (2), 2022)

Cotrending: Testing for common deterministic trends in varying means model. - Marie-Christine Düker; Vladas Pipiras; Raanju R. Sundararajan (J. Multivar. Anal., 2022)

Block dense weighted networks with augmented degree correction. - Benjamin Leinwand; Vladas Pipiras (Netw. Sci., 2022)

Minority Representation and Relative Ranking in Sampling Attributed Networks. - Nelson Antunes; Sayan Banerjee; Shankar Bhamidi; Vladas Pipiras (COMPLEX NETWORKS (1), 2023)

Consistency of Lloyd's Algorithm Under Perturbations. - Dhruv Patel; Hui Shen; Shankar Bhamidi; Yufeng Liu; Vladas Pipiras (CoRR, 2023)

Learning attribute and homophily measures through random walks. - Nelson Antunes; Sayan Banerjee; Shankar Bhamidi; Vladas Pipiras (Appl. Netw. Sci., 2023)

Augmented degree correction for bipartite networks with applications to recommender systems. - Benjamin Leinwand; Vladas Pipiras (Appl. Netw. Sci., 2024)

Representation, ranking and bias of minorities in sampling attributed networks. - Nelson Antunes; Sayan Banerjee; Shankar Bhamidi; Vladas Pipiras (Soc. Netw. Anal. Min., 2024)

Sampling Low-Fidelity Outputs for Estimation of High-Fidelity Density and Its Tails. - Minji Kim; Kevin O'Connor; Vladas Pipiras; Themistoklis P. Sapsis (SIAM/ASA J. Uncertain. Quantification, 2025)

Confidence Driven Classification of Application Types in the Presence of Background Network. - Eun Hun Choi; Jasleen Kaur; Vladas Pipiras; Nelson Gomes Rodrigues Antunes; Brendan Massey (CoRR, 2025)