Skip to content

Latest commit

 

History

History
86 lines (68 loc) · 2.83 KB

references.md

File metadata and controls

86 lines (68 loc) · 2.83 KB

References

  • C. Boule, K. Andrews, A. Penfield, I. Puckette, K. A. Goodale and S. A. Harfenist. Determining Binary Stellar Orbits Using Kepplers Equation. Journal of Double Star Observations, Vol 13, p 189. 2017.

  • C.M. Bishop. Pattern Recognition and Machine Learning. Springer Science. 2006.

  • P.C. Gregory. Bayesian Logical Data Analysis for the Physical Sciences. Cambridge University Press. 2005.

  • WJ Handley, MP Hobson and AN Lasenby. POLYCHORD: next-generation nested sampling. MNRAS (2015) Volume 453, Issue 4, p 4384–4398

  • E.T. Jaynes. Probability Theory. Cambridge University Press. 2003.

  • Do Kester. Straight Lines. Maximum Entropy and Bayesian Methods. Eds: Von der Linden, W., et al. Garching, Kluwer Academic Publishers, pp. 179-188, 1999.

  • Do Kester. A Software Package for Parameter Estimation and Model Comparison. In: Bayesian Inference and Maximum Entropy Methods in Science and Engineering Eds: R. Fischer et al. Garching, 2004, AIP Conference Proceedings 735 2004, p. 379.

  • Do Kester, Douwe Beintema and Dieter Lutz. SWS Fringes and Models ESA SP-481, Vilspa, pp. 375-378. 2009.

  • Do Kester and Romke Bontekoe. Darwinian Model Building. Bayesian Inference and Maximum Entropy Methods in Science and Engineering. Eds: Ali-Mohammad Djafari et al. Chamonix. AIP Conference Proceedings 1305, p.49. 2010.

  • Do Kester. The Ball is Round. Bayesian Inference and Maximum Entropy Methods in Science and Engineering. Eds: Ali-Mohammad Djafari et al. Chamonix. AIP Conference Proceedings 1305. p.107. 2010.

  • Do Kester, Ian Avruch and David Teyssier. Correction of Electric Standing Waves. in Bayesian Inference and Maximum Entropy Methods in Science and Engineering, AIP Conf. Proc., 1636, 62. 2014.

  • Do Kester, Ronan Higgins and David Teyssier. Derivation of sideband gain ratio for Herschel/HIFI A & A 599 A115. 2017.

  • Do Kester and Migo Mueller. BayesicFitting, a PYTHON toolbox for Bayesian fitting and Evidence Calculation Astronomy and Computing, Vol 37, 100503. 2021. doi: 10.1016/j.ascom.2021.100503

  • W. von der Linden, V. Dose, U. Toussaint. Bayesian Probabilty Theory. Cambridge University Press. 2014.

  • W.H. Press, S.A. Teukolsky, W.T. Vetterling and B.P. Flannery Numerical Recipes, Cambridge University Press. 1988-2007.

  • D.S. Sivia and J. Skilling. Data Analysis, A Bayesian Tutorial. Oxford University Press. 2006.