SkyNet: an efficient and robust neural network training tool for machine learning in astronomy von Graff, Philip, Feroz, Farhan, Hobson, Michael P., Lasenby, Anthony

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The impact of priors and observables on parameter inferences in the constrained MSSM von Trotta, Roberto, Feroz, Farhan, Hobson, Mike, Roszkowski, Leszek, Austri, Roberto Ruiz de

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Challenges of profile likelihood evaluation in multi-dimensional SUSY scans von Feroz, Farhan, Cranmer, Kyle, Hobson, Mike, Ruiz de Austri, Roberto, Trotta, Roberto

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The Mock LISA Data Challenges: from challenge 3 to challenge 4 von Babak, Stanislav, Baker, John G, Benacquista, Matthew J, Cornish, Neil J, Larson, Shane L, Mandel, Ilya, McWilliams, Sean T, Petiteau, Antoine, Porter, Edward K, Robinson, Emma L, Vallisneri, Michele, Vecchio, Alberto, Adams, Matt, Arnaud, Keith A, Błaut, Arkadiusz, Bridges, Michael, Cohen, Michael, Cutler, Curt, Feroz, Farhan, Gair, Jonathan R, Graff, Philip, Hobson, Mike, Key, Joey Shapiro, Królak, Andrzej, Lasenby, Anthony, Prix, Reinhard, Shang, Yu, Trias, Miquel, Veitch, John, Whelan, John T

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A coverage study of the CMSSM based on ATLAS sensitivity using fast neural networks techniques von Bridges, Michael, Cranmer, Kyle, Feroz, Farhan, Hobson, Mike, Ruiz de Austri, Roberto, Trotta, Roberto

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Importance Nested Sampling and the MultiNest Algorithm von Feroz, Farhan, Hobson, Michael P., Cameron, Ewan, Pettitt, Anthony N.

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Microseismic event detection in large heterogeneous velocity models using Bayesian multimodal nested sampling von Das, Saptarshi, Hobson, Michael P., Feroz, Farhan, Chen, Xi, Phadke, Suhas, Goudswaard, Jeroen, Hohl, Detlef

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Obstacle Detection on Railway Tracks Using Vibration Sensors and Signal Filtering Using Bayesian Analysis von Sinha, Dhiraj, Feroz, Farhan

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Challenges of profile likelihood evaluation in multi-dimensional SUSY scans von Feroz, Farhan, Cranmer, Kyle, Hobson, Mike, Ruiz de Austri, Roberto, Trotta, Roberto

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Bayesian Posterior Repartitioning for Nested Sampling von Chen, Xi, Feroz, Farhan, Hobson, Michael

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BAMBI: blind accelerated multimodal Bayesian inference von Graff, Philip, Feroz, Farhan, Hobson, Michael P., Lasenby, Anthony

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PHOTO-DYNAMICAL ANALYSIS OF THREE KEPLER OBJECTS OF INTEREST WITH SIGNIFICANT TRANSIT TIMING VARIATIONS von NESVORNY, DAVID, Kipping, David, Terrell, Dirk, Feroz, Farhan

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Use of the MULTINEST algorithm for gravitational wave data analysis von Feroz, Farhan, Gair, Jonathan R, Hobson, Michael P, Porter, Edward K

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Free-form modelling of galaxy clusters: a Bayesian and data-driven approach von Olamaie, Malak, Hobson, Michael P, Feroz, Farhan, Grainge, Keith J B, Lasenby, Anthony, Perrott, Yvette C, Rumsey, Clare, Saunders, Richard D E

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Free-form modelling of galaxy clusters: a Bayesian and data-driven approach von Olamaie, Malak, Hobson, Michael P, Feroz, Farhan, Grainge, Keith J B, Lasenby, Anthony, Perrott, Yvette C, Rumsey, Clare, Saunders, Richard D E

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Importance Nested Sampling and the MultiNest Algorithm von Farhan Feroz, Michael P. Hobson, Ewan Cameron, Anthony N. Pettitt

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Bayesian selection of sign μ within mSUGRA in global fits including WMAP5 results von Feroz, Farhan, Allanach, Benjamin C, Hobson, Mike, AbdusSalam, Shehu S, Trotta, Roberto, Weber, Arne M

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AMI observations of 10 CLASH galaxy clusters: SZ and X-ray data used together to determine cluster dynamical states von Rumsey, Clare, Olamaie, Malak, Perrott, Yvette C., Russell, Helen R., Feroz, Farhan, Grainge, Keith J. B., Handley, Will J., Hobson, Michael P., Saunders, Richard D. E., Schammel, Michel P.

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AMI observations of 10 CLASH galaxy clusters: SZ and X-ray data used together to determine cluster dynamical states von Rumsey, Clare, Olamaie, Malak, Perrott, Yvette C, Russell, Helen R, Feroz, Farhan, Grainge, Keith, Handley, Will J, Hobson, Michael P, Richard Saunders, D. E, Schammel, Michel P

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BAMBI: blind accelerated multimodal Bayesian inference: BAMBI von Graff, Philip, Feroz, Farhan, Hobson, Michael P., Lasenby, Anthony

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