Modeling of two-dimensional random fields by parametric cepstrum. - Victor Solo (IEEE Trans. Inf. Theory, 1986)

The limiting behavior of LMS. - Victor Solo (IEEE Trans. Acoust. Speech Signal Process., 1989)

Effects of attenuation factor on adaptive time delay estimation. - Xuan Kong; Victor Solo (ICASSP, 1991)

The error variance of LMS with time-varying weights. - Victor Solo (IEEE Trans. Signal Process., 1992)

Stochastic averaging analysis of a steepest-descent-type adaptive time-delay estimation algorithm. - Xuan Kong; Victor Solo (Math. Control. Signals Syst., 1994)

On the stability of slowly time-varying linear systems. - Victor Solo (Math. Control. Signals Syst., 1994)

Exact Tikhonov regularisation for the limited data computed tomography problem. - Victor Solo (ICASSP, 1995)

Regularisation of the limited data computed tomography problem via the boundary element method. - Victor Solo (ICIP, 1995)

A sure-fired way to choose smoothing parameters in ill-conditioned inverse problems. - Victor Solo (ICIP (3), 1996)

A Data-Driven Method for Choosing Smoothing Parameters in Optical Flow Problems. - Lydia Ng; Victor Solo (ICIP (3), 1997)

A Signal Processing Approach to Functional MRI for Brain Mapping. - Victor Solo; Emery N. Brown; Robert M. Weisskoff (ICIP (2), 1997)

The stability of LMS. - Victor Solo (IEEE Trans. Signal Process., 1997)

Errors-in-variables modelling in optical flow problems. - Lydia Ng; Victor Solo (ICASSP, 1998)

Choosing the Optimal Neighbourhood Size in Optical Flow Problems with Errors-in-Variables Modelling. - Lydia Ng; Victor Solo (ICIP (2), 1998)

Regularization for Functional MRI Models. - Victor Solo; Patrick L. Purdon; Emery N. Brown; Robert M. Weisskoff (ICIP (1), 1998)

Performance analysis of adaptive eigenanalysis algorithms. - Victor Solo; Xuan Kong (IEEE Trans. Signal Process., 1998)

Selection of regularisation parameters for total variation denoising. - Victor Solo (ICASSP, 1999)

Optical Flow Estimation Using Adaptive Wavelet Zeroing. - Lydia Ng; Victor Solo (ICIP (3), 1999)

Model Comparison for Functional MRI. - Victor Solo; Patrick L. Purdon; Emery N. Brown; Robert M. Weisskoff (ICIP (2), 1999)

Bandwidth selection for local linear regression: A simulation study. - Thomas C. M. Lee; Victor Solo (Comput. Stat., 1999)

'Unobserved' Monte Carlo method for identification of partially observed nonlinear state space systems. Part II. Counting process observations. - Victor Solo (CDC, 2000)

Total variation denoising in coloured noise. - Victor Solo (ICASSP, 2000)

Selecting the Neighbourhood Size, Shape, Weights and Model Order in Optical Flow Estimation. - Lydia Ng; Victor Solo (ICIP, 2000)

Erratum to: "Bandwidth Selection for Local Linear Regression: A Simulation Study" 4/1999, pp 515-532. - Thomas C. M. Lee; Victor Solo (Comput. Stat., 2000)

Limits to estimation to stochastic ill-conditioned inverse problems. - Victor Solo (IEEE Trans. Inf. Theory, 2000)

Asymptotics for complexity regularized transfer function estimation with orthonormal bases. - Victor Solo (CDC, 2001)

Automatic stopping criterion for anisotropic diffusion. - Victor Solo (ICASSP, 2001)

Spatio-temporal signal processing for multisubject functional MRI studies. - Victor Solo; Patrick L. Purdon; Emery N. Brown (ICASSP, 2001)

Locally Regularized Spatiotemporal Modeling and Model Comparison for Functional MRI. - Patrick L. Purdon; Victor Solo; Robert M. Weisskoff; Emery N. Brown (NeuroImage, 2001)

Errors-in-variables modeling in optical flow estimation. - Lydia Ng; Victor Solo (IEEE Trans. Image Process., 2001)

A Signal Estimation Approach to Functional MRI. - Victor Solo; Patrick L. Purdon; Emery N. Brown; Robert M. Weisskoff (IEEE Trans. Medical Imaging, 2001)

A spatio-temporal Kalman filter for estimation of barotropic Rossby waves from altimeter data. - Victor Solo (CDC, 2002)

Identification of a noisy stochastic heat equation with the EM algorithm. - Victor Solo (CDC, 2002)

A fast automatic stopping criterion for anisotropic diffusion. - Victor Solo (ICASSP, 2002)

Construction and analysis of non-Gaussian spatial models of neural spiking activity. - Riccardo Barbieri; Loren M. Frank; Michael C. Quirk; Victor Solo; Matthew A. Wilson; Emery N. Brown (Neurocomputing, 2002)

Motion and Ballistocardiogram Artifact Removal for Interleaved Recording of EEG and EPs during MRI. - Giorgio Bonmassar; Patrick L. Purdon; Iiro P. Jääskeläinen; Keith Chiappa; Victor Solo; Emery N. Brown; John W. Belliveau (NeuroImage, 2002)

An EM algorithm for singular state space models. - Victor Solo (CDC, 2003)

Empirical choice of smoothing parameters in optical flow with correlated errors. - Mingren Shi; Victor Solo (ICASSP (3), 2003)

Signals in coloured noise: joint non-parametric estimation of signal and of noise spectrum. - Victor Solo (ICASSP (6), 2003)

Spatial wavelets for temporally correlated FMRI. - Victor Solo; Emery N. Brown; Christopher J. Long (ICIP (2), 2003)

Measuring Period of Human Biological Clock: Infill Asymptotic Analysis of Harmonic Regression Parameter Estimates. - Emery N. Brown; Victor Solo; Yong Choe; Zhenhua Zhang (Numerical Computer Methods, Part D, 2004)

An EM algorithm for singular state space models: II. - Victor Solo (CDC, 2004)

Hemodynamic transfer function estimation with Laguerre polynomials and confidence intervals construction, from functional magnetic resonance imaging (fMRI) data. - Supratim Saha; Christopher J. Long; Emery N. Brown; Elissa Aminoff; Moshe Bar; Victor Solo (ICASSP (3), 2004)

Empirical choice of smoothing parameters in robust optical flow estimation. - Mingren Shi; Victor Solo (ICASSP (3), 2004)

State estimation from high-dimensional data. - Victor Solo (ICASSP (2), 2004)

FMRI signal modeling using laguerre polynomials. - Victor Solo; Christopher J. Long; Emery N. Brown; Elissa Aminoff; Moshe Bar; Supratim Saha (ICIP, 2004)

Dynamic Analyses of Information Encoding in Neural Ensembles. - Riccardo Barbieri; Loren M. Frank; David P. Nguyen; Michael C. Quirk; Victor Solo; Matthew A. Wilson; Emery N. Brown (Neural Comput., 2004)

Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering. - Uri T. Eden; Loren M. Frank; Riccardo Barbieri; Victor Solo; Emery N. Brown (Neural Comput., 2004)

Spatiotemporal wavelet analysis for functional MRI. - Christopher J. Long; Emery N. Brown; Dara S. Manoach; Victor Solo (NeuroImage, 2004)

System Identification with Analog and Counting Process Observations I: Hybrid Stochastic Intensity and Likelihood. - Victor Solo (CDC/ECC, 2005)

System Identification with Analog and Counting Process Observations II: Mutual Information. - Victor Solo (CDC/ECC, 2005)

Selection of tuning parameters for support vector machines. - Victor Solo (ICASSP (5), 2005)

Experimental and modeling investigation of microwave radiometer noise statistics for Earth remote sensing. - Hanh Pham; Anthony W. England; Victor Solo; Edward J. Kim 001 (IGARSS, 2005)

Nonstationary noise estimation in functional MRI. - Christopher J. Long; Emery N. Brown; Christina Triantafyllou; I. Aharon; Lawrence L. Wald; Victor Solo (NeuroImage, 2005)

The minimal signal-to-noise ratio required to stabilize over a noisy channel. - James S. Freudenberg; Richard H. Middleton; Victor Solo (ACC, 2006)

High Dimensional Point Process System Identification: PCA and Dynamic Index Models. - Victor Solo (CDC, 2006)

A True Spatiotemporal Approach for Activation Detection in Functional MRI. - Joonki Noh; Victor Solo (ICASSP (3), 2006)

Mutual Information Between Random Processes from High Dimensional Data. - Victor Solo (ICASSP (3), 2006)

Smooth Principal Component Analysis with Application to Functional Magnetic Resonance Imaging. - Magnus O. Ulfarsson; Victor Solo (ICASSP (2), 2006)

Spatially Local and Temporally Smooth PCA for fMRI. - Magnus O. Ulfarsson; Victor Solo (ICIP, 2006)

On causality I: Sampling and noise. - Victor Solo (CDC, 2007)

Likelihood functions for multivariate point processes with coincidences. - Victor Solo (CDC, 2007)

A True Spatio-Temporal Test Statistic for Activation Detection in FMRI by Parametric Cepstrum. - Joonki Noh; Victor Solo (ICASSP (1), 2007)

Testing for Space-Time Separability in Functional Mri. - Joonki Noh; Victor Solo (ISBI, 2007)

An Em Algorithm for Rician Fmri Activation Detection. - Victor Solo; Joonki Noh (ISBI, 2007)

Sparse Variable Principal Component Analysis with Application to Fmri. - Magnus O. Ulfarsson; Victor Solo (ISBI, 2007)

A Subspace approach to reduced rank time-series models. - Victor Solo (CDC, 2008)

On causality and mutual information. - Victor Solo (CDC, 2008)

Space-time separability in functional MRI: Asymptotic power analysis of a new test procedure. - Joonki Noh; Victor Solo (ICASSP, 2008)

A modified clean algorithm does L1-denoising. - Victor Solo (ICASSP, 2008)

Rank selection in noist PCA with sure and random matrix theory. - Magnus O. Ulfarsson; Victor Solo (ICASSP, 2008)

Activation detection in functional MRI based on non-separable space-time noise models. - Joonki Noh; Victor Solo (ISBI, 2008)

Dimension Estimation in Noisy PCA With SURE and Random Matrix Theory. - Magnus O. Ulfarsson; Victor Solo (IEEE Trans. Signal Process., 2008)

Sparse Variable PCA Using Geodesic Steepest Descent. - Magnus O. Ulfarsson; Victor Solo (IEEE Trans. Signal Process., 2008)

On the boundedness problem of stochastic adaptive algorithms. - Victor Solo (CDC, 2009)

On nonlinear state estimation in a Riemannian manifold. - Victor Solo (CDC, 2009)

Sparse variable PCA using a steepest descent on a Grassman manifold. - Magnus O. Ulfarsson; Victor Solo (ICASSP, 2009)

Second order fluctuations of TD(λ) and a positive real condition. - Victor Solo (CDC, 2010)

Attitude estimation and Brownian motion on SO(3). - Victor Solo (CDC, 2010)

Sparse signal estimation with nonlinear conjugate gradients. - Goran Marjanovic; Victor Solo (ICASSP, 2010)

Rician distributed functional MRI: Asymptotic power analysis of likelihood ratio tests for activation detection. - Joonki Noh; Victor Solo (ICASSP, 2010)

On Random Matrix Theory for stationary processes. - Victor Solo (ICASSP, 2010)

Testing for independence between a point process and an analog signal. - Victor Solo; Ahmed Pasha (ICASSP, 2010)

Threshold selection for group sparsity. - Victor Solo; Magnus O. Ulfarsson (ICASSP, 2010)

A semiparametric PCA approach to fMRI data analysis. - Magnus O. Ulfarsson; Victor Solo (ICASSP, 2010)

Sparse variable noisy PCA using l0 penalty. - Magnus O. Ulfarsson; Victor Solo (ICASSP, 2010)

Stabilization and Disturbance Attenuation Over a Gaussian Communication Channel. - James S. Freudenberg; Richard H. Middleton; Victor Solo (IEEE Trans. Autom. Control., 2010)

L0 sparse graphical modeling. - Goran Marjanovic; Victor Solo (ICASSP, 2011)

Time-to-Onset latency in fMRI: Fast detection of delayed activation. - Victor Solo; Ben Cassidy; Christopher J. Long; Caroline D. Rae (ICASSP, 2011)

Sparse variable reduced rank regression via Stiefel optimization. - Magnus O. Ulfarsson; Victor Solo (ICASSP, 2011)

Rician Distributed FMRI: Asymptotic Power Analysis and Cramér-Rao Lower Bounds. - Joonki Noh; Victor Solo (IEEE Trans. Signal Process., 2011)

Vector l0 Sparse Variable PCA. - Magnus O. Ulfarsson; Victor Solo (IEEE Trans. Signal Process., 2011)

Topology identification of a sparse dynamic network. - Akila J. Seneviratne; Victor Solo (CDC, 2012)

Sparse coloured system identification with guaranteed stability. - Akila J. Seneviratne; Victor Solo (CDC, 2012)

Stochastic stability of an attitude estimation algorithm on SO(3). - Victor Solo (CDC, 2012)

Adaptive estimation of stochastic differential games. - Victor Solo (CDC, 2012)

Computing the trajectory mutual information between a point process and an analog stochastic process. - Syed Ahmed Pasha; Victor Solo (EMBC, 2012)

lq matrix completion. - Goran Marjanovic; Victor Solo (ICASSP, 2012)

On vector L0 penalized multivariate regression. - Akila J. Seneviratne; Victor Solo (ICASSP, 2012)

Averaging stability analysis of a new attitude estimation algorithm. - Victor Solo (ICASSP, 2012)

Sparse loading noisy PCA using an l0 penalty. - Magnus O. Ulfarsson; Victor Solo (ICASSP, 2012)

fMRI model diagnostics for the Double Gamma and temporal derivative. - Ben Cassidy; Victor Solo (ISBI, 2012)

Grouped L0 least squares penalised Magnetoencephalography. - Ben Cassidy; Victor Solo; Akila J. Seneviratne (ISBI, 2012)

Estimation of high-dimensional linear factor models with grouped variables. - Chris Heaton; Victor Solo (J. Multivar. Anal., 2012)

Identifying fMRI Model Violations With Lagrange Multiplier Tests. - Ben Cassidy; Christopher J. Long; Caroline D. Rae; Victor Solo (IEEE Trans. Medical Imaging, 2012)

On lq Optimization and Matrix Completion. - Goran Marjanovic; Victor Solo (IEEE Trans. Signal Process., 2012)

Hawkes-Laguerre dynamic index models for point processes. - Syed Ahmed Pasha; Victor Solo (CDC, 2013)

On exact lq denoising. - Goran Marjanovic; Victor Solo (ICASSP, 2013)

Hawkes-laguerre reduced rank model for point processes. - Syed Ahmed Pasha; Victor Solo (ICASSP, 2013)

Threshold selection for noisy matrix completion. - Victor Solo (ICASSP, 2013)

Tuning parameter selection for nonnegative matrix factorization. - Magnus O. Ulfarsson; Victor Solo (ICASSP, 2013)

Direct mapping of T2* signal changes induced by Transcranial Direct Current Stimulation. - Ben Cassidy; Victor Solo; Caroline D. Rae (ISBI, 2013)

Sparse component selection with application to MEG source localization. - Martin Luessi; Matti S. Hämäläinen; Victor Solo (ISBI, 2013)

Point-Process Principal Components Analysis via Geometric Optimization. - Victor Solo; Syed Ahmed Pasha (Neural Comput., 2013)

Tuning Parameter Selection for Underdetermined Reduced-Rank Regression. - Magnus O. Ulfarsson; Victor Solo (IEEE Signal Process. Lett., 2013)

Space-Time Separability in FMRI: Asymptotic Power Analysis and Cramér-Rao Lower Bounds. - Joonki Noh; Victor Solo (IEEE Trans. Signal Process., 2013)

Topology identification for sparse dynamic point process networks. - Syed Ahmed Pasha; Victor Solo (CDC, 2014)

Stochastic numerical analysis for Brownian motion on SO(3). - Marc J. Piggott; Victor Solo (CDC, 2014)

An approach to stochastic system identification in riemannian manifolds. - Victor Solo (CDC, 2014)

Vector ℓ0 latent-space principal component analysis. - Martin Luessi; Matti S. Hämäläinen; Victor Solo (ICASSP, 2014)

Topology identification of dynamic point process networks. - Syed Ahmed Pasha; Victor Solo (ICASSP, 2014)

Sparse component analysis via dyadic cyclic descent. - Magnus O. Ulfarsson; Victor Solo (ICASSP, 2014)

Group Sparsity via SURE Based on Regression Parameter Mean Squared Error. - Akila J. Seneviratne; Victor Solo (IEEE Signal Process. Lett., 2014)

lq Sparsity Penalized Linear Regression With Cyclic Descent. - Goran Marjanovic; Victor Solo (IEEE Trans. Signal Process., 2014)

On lq Optimization and Sparse Inverse Covariance Selection. - Goran Marjanovic; Victor Solo (IEEE Trans. Signal Process., 2014)

Maximum likelihood identification of Hawkes-Pham models with a guaranteed stability condition. - Boris I. Godoy; Victor Solo; Syed Ahmed Pasha (CDC, 2015)

A simple approach to numerical methods for stochastic differential equations in Lie groups. - Goran Marjanovic; Marc J. Piggott; Victor Solo (CDC, 2015)

Distributed topology identification for sparse point process dynamic networks. - Syed Ahmed Pasha; Victor Solo (CDC, 2015)

Stability of distributed adaptive algorithms II: Diffusion algorithms. - Marc J. Piggott; Victor Solo (CDC, 2015)

Stochastic system identification in SO(3). - Victor Solo (CDC, 2015)

Stability of distributed adaptive algorithms I: Consensus algorithms. - Victor Solo (CDC, 2015)

Distributed topology identification for point process dynamic networks. - Syed Ahmed Pasha; Victor Solo (ICASSP, 2015)

Tikhonov-Galerkin stochastic system identification in SO(3). - Marc J. Piggott; Victor Solo (ICASSP, 2015)

Time-varying vector Poisson processes with coincidences. - Victor Solo; Boris I. Godoy (ICASSP, 2015)

Sparse and low rank decomposition using l0 penalty. - Magnus O. Ulfarsson; Victor Solo; Goran Marjanovic (ICASSP, 2015)

Brain activity: Conditional dissimilarity and persistent homology. - Ben Cassidy; Caroline D. Rae; Victor Solo (ISBI, 2015)

Selecting the Number of Principal Components with SURE. - Magnus O. Ulfarsson; Victor Solo (IEEE Signal Process. Lett., 2015)

Brain Activity: Connectivity, Sparsity, and Mutual Information. - Ben Cassidy; Caroline D. Rae; Victor Solo (IEEE Trans. Medical Imaging, 2015)

Spatially Sparse, Temporally Smooth MEG Via Vector ℓ0. - Ben Cassidy; Victor Solo (IEEE Trans. Medical Imaging, 2015)

Numerical methods for stochastic differential equations in the Stiefel manifold made simple. - Goran Marjanovic; Marc J. Piggott; Victor Solo (CDC, 2016)

Noisy subspace tracking in continuous time. - Victor Solo (CDC, 2016)

Local likelihood estimation of time-variant Hawkes models. - Boris I. Godoy; Victor Solo; Jason Min; Syed Ahmed Pasha (ICASSP, 2016)

An engineer's guide to particle filtering on matrix Lie groups. - Goran Marjanovic; Victor Solo (ICASSP, 2016)

Large-scale l0 sparse inverse covariance estimation. - Goran Marjanovic; Magnus O. Ulfarsson; Victor Solo (ICASSP, 2016)

What to do about noisy consensus? - Victor Solo; Marc J. Piggott (ICASSP, 2016)

Distributed dyadic cyclic descent for non-negative matrix factorization. - Magnus O. Ulfarsson; Victor Solo; Jakob Sigurdsson; Johannes R. Sveinsson (ICASSP, 2016)

Network comparison with frequency domain persistent homology. - Ben Cassidy; Caroline D. Rae; Victor Solo (ISBI, 2016)

State-Space Analysis of Granger-Geweke Causality Measures with Application to fMRI. - Victor Solo (Neural Comput., 2016)

Geometric Euler-Maruyama Schemes for Stochastic Differential Equations in SO(n) and SE(n). - Marc J. Piggott; Victor Solo (SIAM J. Numer. Anal., 2016)

Diffusion LMS With Correlated Regressors I: Realization-Wise Stability. - Marc James Piggott; Victor Solo (IEEE Trans. Signal Process., 2016)

Stability of adaptive network algorithms in multitask environments. - Marc J. Piggott; Victor Solo (CDC, 2017)

An engineer's guide to Particle Filtering on the Stiefel manifold. - Goran Marjanovic; Victor Solo (ICASSP, 2017)

Topological Distances Between Brain Networks. - Moo K. Chung; Hyekyoung Lee; Victor Solo; Richard J. Davidson; Seth D. Pollak (CNI@MICCAI, 2017)

Diffusion LMS With Correlated Regressors II: Performance. - Marc James Piggott; Victor Solo (IEEE Trans. Signal Process., 2017)

Corrections to "Diffusion LMS With Correlated Regressors I: Realization-Wise Stability". - Marc James Piggott; Victor Solo (IEEE Trans. Signal Process., 2017)

Stochastic Attitude Synchronization. - Victor Solo; Marc J. Piggott (CDC, 2018)

Vector ℓ0 Sparse Conditional Independence Graphs. - Goran Marjanovic; Victor Solo (ICASSP, 2018)

Sparse Topology Identification for Point Process Networks. - Syed Ahmed Pasha; Victor Solo (ICASSP, 2018)

Non-Negative Online Estimation for Hawkes Process Networks. - Marc J. Piggott; Victor Solo (ICASSP, 2018)

Numerical Methods for Stochastic Differential Equations in Matrix Lie Groups Made Simple. - Goran Marjanovic; Victor Solo (IEEE Trans. Autom. Control., 2018)

On the Reliability of Individual Brain Activity Networks. - Ben Cassidy; F. DuBois Bowman; Caroline D. Rae; Victor Solo (IEEE Trans. Medical Imaging, 2018)

Connectivity in fMRI: Blind Spots and Breakthroughs. - Victor Solo; Jean-Baptiste Poline; Martin A. Lindquist; Sean L. Simpson; F. DuBois Bowman; Moo K. Chung; Ben Cassidy (IEEE Trans. Medical Imaging, 2018)

Adaptive Estimation of a Vector Point Process Mode. - Syed Ahmed Pasha; Victor Solo (CDC, 2019)

On Random Matrix Theory and Autoregressive Modeling. - Victor Solo (CDC, 2019)

Ito, Stratonovich and Geometry. - Victor Solo; Gregory S. Chirikjian (CDC, 2019)

Numerical Methods for Stochastic Differential Equations in Stiefel Manifolds via the Cayley Transform. - Victor Solo; Zhichao Wang (CDC, 2019)

LMS: Past, Present and Future. - Victor Solo (ICASSP, 2019)

Innovation Starts With Education: ICASSP 2019 Education Panel [SP Forum]. - Victor Solo; Maria Sabrina Greco; Danilo P. Mandic; Petar M. Djuric; Andreas Spanias; Mónica F. Bugallo (IEEE Signal Process. Mag., 2019)

An EM Algorithm for the Time-Variant Vector Hawkes Process. - Syed Ahmed Pasha; Victor Solo; Boris I. Godoy (CDC, 2020)

On the Cramer-Rao Bound in Riemannian Manifolds with Application to SO(3). - Victor Solo; Gregory S. Chirikjian (CDC, 2020)

Particle Filtering on the Stiefel Manifold with Optimal Transport. - Zhichao Wang; Victor Solo (CDC, 2020)

Lie Group State Estimation via Optimal Transport. - Zhichao Wang; Victor Solo (ICASSP, 2020)

Large-Scale Time Series Clustering with k-ARs. - Zuogong Yue; Victor Solo (ICASSP, 2020)

Fast Block-Sparse Estimation for Vector Networks. - Zuogong Yue; Padmavathi Sundaram; Victor Solo (ICASSP, 2020)

Truncated Hawkes point process modeling: System theory and system identification. - Boris I. Godoy; Victor Solo; Syed Ahmed Pasha (Autom., 2020)

Individual Resting-State Brain Networks Enabled by Massive Multivariate Conditional Mutual Information. - Padmavathi Sundaram; Martin Luessi; Marta Bianciardi; Steven M. Stufflebeam; Matti S. Hämäläinen; Victor Solo (IEEE Trans. Medical Imaging, 2020)

On the Error Rate for Classifying Point Processes. - Xinhui Rong; Victor Solo (CDC, 2021)

Partial Trajectory Mutual Information Flow in a Small Point Process Network. - Victor Solo; Ahmed Pasha (CDC, 2021)

Convergence of a Tangent Space Numerical Scheme for a Stochastic Differential Equation on a Sphere. - Victor Solo; Zhichao Wang (CDC, 2021)

Comparing Vector Networks via Frequency Domain Persistent Homology. - Zuogong Yue; Ben Cassidy; Victor Solo (CDC, 2021)

Mutual Information Flows in a Bivariate Point Process. - Syed Ahmed Pasha; Victor Solo (ICASSP, 2021)

Numerical Solution of Stochastic Differential Equations in Stiefel Manifolds via Tangent Space Parametrization. - Zhichao Wang; Victor Solo (ICASSP, 2021)

Clustering A Collection of Networks With Mixtures of L1-Sparse Graphical Models. - Zuogong Yue; Victor Solo (ICASSP, 2021)

Testing for Coincidences between Time Varying Poisson Processes. - Ahmed Pasha; Victor Solo (CDC, 2022)

Convex Clustering for Autocorrelated Time Series. - Max Revay; Victor Solo (ICASSP, 2022)

Cramer-Rao Bound for the Time-Varying Poisson. - Xinhui Rong; Victor Solo (ICASSP, 2022)

Modelling Inhibitory Effects with a Nonlinear Hawkes Model. - Syed Ahmed Pasha; Victor Solo (CDC, 2023)

State Space Subspace Noise Modeling with Guaranteed Stability. - Xinhui Rong; Victor Solo (CDC, 2023)

Hawkes Network Identification with Log-Sparsity Penalty. - Xinhui Rong; Victor Solo; Akila J. Seneviratne (CDC, 2023)

Asymptotic Bias and Variance of Kernel Ridge Regression. - Victor Solo (ICASSP, 2023)

On Tracking a Stochastically Time-Varying Subspace. - Victor Solo (ICASSP, 2023)

A Nonlinear Hawkes Model Using Laguerre Orthogonal Polynomials. - Syed Ahmed Pasha; Victor Solo (CDC, 2024)

Stable, Consistent, Closed-Form Estimators for VAR(1). - Xinhui Rong; Victor Solo (CDC, 2024)

Stratonovich, Ito and Numerical Analysis on Lie Groups. - Victor Solo (CDC, 2024)

Vector Nonlinear Hawkes Model with Inhibition. - Syed Ahmed Pasha; Victor Solo (ICASSP, 2024)

Symmetric VAR(1) Modelling with Guaranteed Stability. - Xinhui Rong; Victor Solo (ICASSP, 2024)

Stable State Space SubSpace (S5) Identification. - Xinhui Rong; Victor Solo (CoRR, 2024)

Asymptotic Classification Error for Heavy-Tailed Renewal Processes. - Xinhui Rong; Victor Solo (CoRR, 2024)

k-MLE, k-Bregman, k-VARs: Theory, Convergence, Computation. - Zuogong Yue; Victor Solo (CoRR, 2024)

Stable reduced-rank VAR identification. - Xinhui Rong; Victor Solo (Autom., 2025)

Tangent Space Parametrization for Stochastic Differential Equations on SO(n). - Xi Wang; Victor Solo (IEEE Control. Syst. Lett., 2025)

Asymptotic Error Rates for Point Process Classification. - Xinhui Rong; Victor Solo (IEEE Trans. Signal Process., 2025)

Asymptotic Analysis of Epidemics on Networks. - Victor Solo (J. Syst. Sci. Complex., 2025)

Geometry-preserving Numerical Scheme for Riemannian Stochastic Differential Equations. - Xi Wang; Victor Solo (CoRR, 2025)

A system identification approach to clustering vector autoregressive time series. - Zuogong Yue; Xinyi Wang; Victor Solo (CoRR, 2025)