Books on the topic 'Measure Theoretic Probability Theory'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 books for your research on the topic 'Measure Theoretic Probability Theory.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse books on a wide variety of disciplines and organise your bibliography correctly.
An introduction to measure-theoretic probability. Boston: Elsevier Academic Press, 2005.
Find full textDavid, Pollard. A user's guide to measure theoretic probability. Cambridge: Cambridge University Press, 2002.
Find full textAsmussen, Søren. Measure-theoretic foundations of probability theory in Polish spaces. 2nd ed. Copenhagen, Denmark: Institute of Mathematical Statistics, University of Copenhagen, 1987.
Find full textGallant, A. Ronald. An introduction to econometric theory: Measure-theoretic probability and statistics with applications to economics. Princeton, N.J: Princeton University Press, 1997.
Find full textFremlin, David Heaver. Set-theoretic measure theory. Colchester: Torres Fremlin, 2008.
Find full textAdams, Malcolm Ritchie. Measure theory and probability. Monterey, Calif: Wadsworth & Brooks/Cole Advanced Books and Software, 1986.
Find full text1937-, Guillemin V., ed. Measure Theory and Probability. Boston, USA: Birkhäuser, 1996.
Find full textAsh, Robert B. Probability and measure theory. 2nd ed. San Diego: Harcourt/Academic Press, 2000.
Find full textAdams, Malcolm, and Victor Guillemin. Measure Theory and Probability. Boston, MA: Birkhäuser Boston, 1996. http://dx.doi.org/10.1007/978-1-4612-0779-5.
Full textPitt, H. R. Integration, measure, and probability. Mineola, N.Y: Dover Publications, Inc., 2012.
Find full text1944-, Kopp P. E., ed. Measure, integral and probability. 2nd ed. London: Springer, 2004.
Find full textC, Taylor J. An introduction to measure and probability. New York: Springer, 1997.
Find full textPandey, Rakesh Kumar. Encyclopaedia of Measure Theory. New Delhi, India: Anmol Publications Pvt. Ltd., 2009.
Find full textGentili, Stefano. Measure, Integration and a Primer on Probability Theory. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54940-4.
Full textDubhashi, Devdatt. Concentration of measure for the analysis of randomized algorithms. Cambridge: Cambridge University Press, 2012.
Find full textEdgar, Gerald A. Integral, Probability, and Fractal Measures. New York, NY: Springer New York, 1998.
Find full textNumber theoretic density and logical limit laws. Providence, RI: American Mathematical Society, 2001.
Find full textDonald C. Pierantozzi Sc D. Measure Theory And Lebesgue Integration. USA: Independently published, 2019.
Find full textCharles University. Mathematics and Physics Faculty, ed. Measure and Integral: Third Edition. Prague, Czech Republic: Matfyzpress, 2013.
Find full textProbability, random processes, and ergodic properties. New York: Springer-Verlag, 1988.
Find full textProbability in Banach spaces--stable and infinitely divisible distributions. Chichester: Wiley, 1986.
Find full textConcentration of measure for the analysis of randomized algorithms. Cambridge: Cambridge University Press, 2009.
Find full textMathai, A. M. An introduction to geometrical probability: Distributional aspects with applications. Amsterdam, USA: Gordon & Breach, 1999.
Find full textM, Gray Robert. Probability, Random Processes, and Ergodic Properties. Boston, MA: Springer-Verlag US, 2009.
Find full textLectures on topics in probability inequalities. Amsterdam, Netherlands: Centrum voor Wiskunde en Informatica, 1987.
Find full textservice), SpringerLink (Online, ed. Measure-Valued Branching Markov Processes. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.
Find full textMa© und Wahrscheinlichkeit. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.
Find full textMarc, Yor, ed. Exercises in probability: A guided tour from measure theory to random processes, via conditioning. Cambridge, U.K: Cambridge University Press, 2003.
Find full textChaumont, L. Exercises in probability: A guided tour from measure theory to random processes, via conditioning. 2nd ed. Cambridge: Cambridge University Press, 2012.
Find full textRosenthal, Jeffrey S. Gambling systems and multiplication-invariant measures. Toronto: University of Toronto, 1997.
Find full textGavriluţ, Alina. Atomicity Through Fractal Measure Theory: Mathematical and Physical Fundamentals with Applications. Cham, Switzerland: Springer Nature Switzerland AG 2019, 2019.
Find full textInvariant measures on groups and their use in statistics. Hayward, Calif: Institute of Mathematical Statistics, 1990.
Find full textPawar, Akhilesh. Probability And Statistics. New Delhi, India: Campus Books International, 2011.
Find full textservice), SpringerLink (Online, ed. The Borel-Cantelli Lemma. India: Springer India, 2012.
Find full textBobkov, Serguei G. Some connections between isoperimetric and Sobolev-type inequalities. Providence, R.I: American Mathematical Society, 1997.
Find full textTodorovic, P. Sets Measures Integrals. Bloomington, USA: Xlibris Corporation, 2012.
Find full textAmbrosio, Luigi. Gradient flows: In metric spaces and in the space of probability measures. Basel: Birkhauser, 2004.
Find full textNicola, Gigli, and Savaré Giuseppe, eds. Gradient flows: In metric spaces and in the space of probability measures. Boston: Birkhäuser, 2005.
Find full textAndré, Meyer Paul, and Meyer Paul André, eds. Probabilities and potential. Amsterdam: North-Holland Pub. Co., 1988.
Find full textRoussas, George G. Introduction to Measure-Theoretic Probability. Elsevier Science & Technology Books, 2014.
Find full text