Referências

[1] (https://mathoverflow.net/users/7392/mark), Mark. Demystifying the Carathéodory Approach to Measurability. MathOverflow. Disponível em https://mathoverflow.net/q/34029. Versão de 2010-07-31. https://mathoverflow.net/q/34029.

[2] Aliprantis, Charalambos D e Kim Border. Infinite Dimensional Analysis: A Hitchhiker's Guide. Springer Science & Business Media. 2006.

[3] Ash, Robert. Real Analysis and Probability. Vol. 6. Academic Press. 1972.

[4] Bartle, Robert G. The elements of integration and Lebesgue measure. John Wiley & Sons. 2014.

[5] Bauer, Andrej. Why do roots of polynomials tend to have absolute value close to 1?. MathOverflow https://mathoverflow.net/q/182412. 2014. https://mathoverflow.net/q/182412.

[6] Bauer, Heinz e R.. B. Burckel. Probability theory and elements of measure theory. Academic Press London. 1981.

[7] Bentkus, V, F Götze, P Gudynas, V Paulauskas, Valentin Petrov, A Rackauskas, L Saulis e J Sunklodas. Limit theorems of probability theory. Springer Science & Business Media. 2013.

[8] Billingsley, Patrick. Convergence of probability measures. John Wiley & Sons. 2013.

[9] Billingsley, Patrick. Probability and measure. John Wiley & Sons. 2008.

[10] Bochner, Salomon. Harmonic analysis and the theory of probability. Courier Corporation. 2013.

[11] Bogachev, Vladimir I. Measure theory. Vol. 1. Springer Science & Business Media. 2007.

[12] Breiman, Leo. Probability. SIAM. 1992.

[13] Capinski, Marek e Peter E Kopp. Measure, integral and probability. Springer Science & Business Media. 2013.

[14] Donadelli, Jair. Processos de Ramificação. https://anotacoesdeaula.wordpress.com. 2016. https://anotacoesdeaula.wordpress.com/2013/05/21/impe-bc1414-ramificacao/.

[15] Durrett, Rick. Probability: theory and examples. Cambridge university press. 2010.

[16] Fine, Terrence L. Theories of probability: An examination of foundations. Academic Press. 2014.

[17] Folland, Gerald B. Real analysis: modern techniques and their applications. John Wiley & Sons. 2013.

[18] Grimmett, Geoffrey e Dominic Welsh. Probability: an introduction. Oxford University Press. 2014.

[19] Gut, Allan. Probability: a graduate course. Springer Science & Business Media. 2012.

[20] den Hollander, Frank. “Probability theory: The coupling method”. Lectures Notes-Mathematical Institute, Leiden University. 2012.

[21] Karr, Alan. Probability. Springer Science & Business Media. 1992.

[22] Klenke, Achim. Probability theory: a comprehensive course. Springer Science & Business Media. 2013.

[23] Kowalski, Emmanuel. “Bernstein polynomials and Brownian motion”. American Mathematical Monthly 113(10), p. 865–886. Mathematical Association of America. 2006.

[24] Lesigne, Emmanuel. Heads or tails: An introduction to limit theorems in probability. Vol. 28. American Mathematical Soc. 2005.

[25] Parthasarathy, KR. CONVERGENCE OF PROBABILITY MEASURES. Wiley Online Library. 1970.

[26] Pivato, Marcus. “Analysis, Measure, and Probability: A visual introduction”. 2003.

[27] Pollard, David. A user's guide to measure theoretic probability. Vol. 8. Cambridge University Press. 2002.

[28] Resnick, Sidney I. A probability path. Springer Science & Business Media. 2013.

[29] Rosenthal, Jeffrey S. A first look at rigorous probability theory. World Scientific Publishing Co Inc. 2006.

[30] Royden, Halsey Lawrence e Patrick Fitzpatrick. Real analysis. Vol. 198. Macmillan New York. 1988.

[31] Santaló, Luis A. Integral geometry and geometric probability. Cambridge university press. 2004.

[32] Schmidt, Klaus D. “The Cantor set in probability theory”. 1991.

[33] Shiryaev, Albert N. Probability. Springer-Verlag, New York,. 1996.

[34] Sion, Maurice. “HISTORY on MEASURE THEORY IN THE TWENTIETH CENTURY”. 1990.

[35] Von Plato, Jan. Creating modern probability: Its mathematics, physics and philosophy in historical perspective. Cambridge University Press. 1994.