87 citations · 429 across the 19 of their papers we have counts for
20 papers
A novel prestack sparse azimuthal AVO inversion
B. G. Lasscock, T. A. Sansal
In this paper we demonstrate a new algorithm for sparse prestack azimuthal AVO inversion. A novel Euclidean prior model is developed to at once respect sparseness in the layered ea…
Focal mechanism estimation by classification
Ben G. Lasscock, Brendon J. Hall, Michael E. Glinsky
A classification technique for identifying focal mechanism type and fault plane orientation based on the polarity of P-wave "first motion" data is derived. A support vector machine…
Bayesian Cointegrated Vector Autoregression models incorporating Alpha-stable noise for inter-day price movements via Approximate Bayesian Computation
Gareth W. Peters, Balakrishnan B. Kannan, Ben Lasscock +2
We consider a statistical model for pairs of traded assets, based on a Cointegrated Vector Auto Regression (CVAR) Model. We extend standard CVAR models to incorporate estimation of…
Model Selection and Adaptive Markov chain Monte Carlo for Bayesian Cointegrated VAR model
Gareth W. Peters, Balakrishnan Kannan, Ben Lasscock +1
This paper develops a matrix-variate adaptive Markov chain Monte Carlo (MCMC) methodology for Bayesian Cointegrated Vector Auto Regressions (CVAR). We replace the popular approach…
Low-lying positive-parity excited states of the nucleon
M. S. Mahbub, Alan Ó Cais, Waseem Kamleh +3
We present an overview of the correlation-matrix methods developed recently by the CSSM Lattice Collaboration for the isolation of excited states of the nucleon. Of particular inte…
Isolating the Roper Resonance in Lattice QCD
M. S. Mahbub, Alan Ò Cais, Waseem Kamleh +3
We present results for the first positive parity excited state of the nucleon, namely, the Roper resonance (=1440 MeV) from a variational analysis technique. The ana…