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Almost Sure | A random mathematical blog

A random mathematical blog (by George Lowther)

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Almost Sure | A random mathematical blog | almostsure.wordpress.com Reviews
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A random mathematical blog (by George Lowther)
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Almost Sure | A random mathematical blog | almostsure.wordpress.com Reviews

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A random mathematical blog (by George Lowther)

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1

The Bichteler-Dellacherie Theorem | Almost Sure

https://almostsure.wordpress.com/2011/03/28/the-bichteler-dellacherie-theorem

Filed under: Stochastic Calculus Notes. The General Theory of Semimartingales. 8212; George Lowther @ 12:30 PM. In this post, I will give a statement and proof of the Bichteler-Dellacherie theorem describing the space of semimartingales. A semimartingale, as defined in these notes. Is a cadlag adapted stochastic process X. Such that the stochastic integral. Is well-defined for all bounded predictable. And satisfies bounded convergence in the following sense. If. In probability as n. For a fixed time t.

2

Filtrations and Adapted Processes | Almost Sure

https://almostsure.wordpress.com/2009/11/08/filtrations-and-adapted-processes

Filtrations and Adapted Processes. Filed under: Filtrations and Processes. 8212; George Lowther @ 12:22 AM. In the previous post I started by introducing the concept of a stochastic process, and their modifications. It is necessary to introduce a further concept, to represent the information available at each time. A. On a probability space. Is a collection of sub-sigma-algebras of. The idea is that. Represents the set of events observable by time. The probability space taken together with the filtration.

3

Cadlag Modifications | Almost Sure

https://almostsure.wordpress.com/2009/12/18/cadlag-modifications

Filed under: Filtrations and Processes. 8212; George Lowther @ 1:46 AM. As was mentioned in the initial post of these stochastic calculus notes, it is important to choose good versions of stochastic processes. In some cases, such as with Brownian motion, it is possible to explicitly construct the process to be continuous. However, in many more cases, it is necessary to appeal to more general results to assure the existence of such modifications. The left limit at any time. The jump at time. If and only i...

4

Quasimartingales | Almost Sure

https://almostsure.wordpress.com/2012/04/12/quasimartingales

Filed under: Stochastic Calculus Notes. The General Theory of Semimartingales. 8212; George Lowther @ 12:30 PM. Are a natural generalization of martingales, submartingales and supermartingales. They were first introduced by Fisk in order to extend the Doob-Meyer decomposition. To a larger class of processes, showing that continuous quasimartingales can be decomposed into martingale and finite variation terms ( Quasi-martingales. Often, given a process, it is important to show that it is a semimartingale.

5

The Doob-Meyer Decomposition | Almost Sure

https://almostsure.wordpress.com/2011/12/30/the-doob-meyer-decomposition

Filed under: Stochastic Calculus Notes. The General Theory of Semimartingales. 8212; George Lowther @ 12:30 PM. The Doob-Meyer decomposition was a very important result, historically, in the development of stochastic calculus. This theorem states that every cadlag submartingale. Uniquely decomposes as the sum of a local martingale. And an increasing predictable process. For one thing, if X. Is a square-integrable martingale then Jensen’s inequality. Is a local martingale. The term. Using a stochastic int...

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neuron-r pata: SM of the Brain

http://subhajit06.blogspot.com/2011/03/sm-of-brain.html

Monday, March 28, 2011. SM of the Brain. Course - Statistical Models of the Brain (CMU). Subscribe to: Post Comments (Atom). Back to Hijibiji Khata. In this post, I introduce the concept of optional and predictable projections of jointly measurable processes. Optional projections of right-continuous pro. Furstenberg limits of the Liouville function. Our Bayesian Non-parametric Seminar. New release of pqR — faster, and now compatible with R-2.15.1. Webpage - Hemant Ishwaran. SM of the Brain.

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SMC sampler | Journey into Randomness

https://linbaba.wordpress.com/2012/09/29/smc_sampler

September 29, 2012 at 9:21 pm ( Monte Carlo. Tags: Sequential monte carlo. Sequential Monte Carlo (SMC) methods are usually designed to deal with probability distributions of increasing dimensions. The canonical example is the sequence of distributions. Is a hidden Markov chain and. Is an observation process. The notation. Is a shortcut for. This is usually called a Hidden Markov Model. In the literature. If the Markov chain. Is a probability on. Is typically very easy to sample from and. This algorithm ...

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Travelling between cities … | Journey into Randomness

https://linbaba.wordpress.com/2011/12/19/travelling-between-cities

Travelling between cities …. December 19, 2011 at 12:29 am ( probability. Consider the standard plane lattice. And suppose that each point. Represents a city. Each city is connected to its. Neighbors only and each edge. Carries a weight that represents the time it takes to go from city. A natural question is the following:. Given two (non-neighboring) cities on the map, how long does take to travel between them? In other words, each edge of the lattice. Carries a random variable. For those who want to pl...

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neuron-r pata: lecture series

http://subhajit06.blogspot.com/2011/09/lecture-series.html

Sunday, September 4, 2011. Subscribe to: Post Comments (Atom). Back to Hijibiji Khata. In this post, I introduce the concept of optional and predictable projections of jointly measurable processes. Optional projections of right-continuous pro. Furstenberg limits of the Liouville function. Given a function on the natural numbers taking values in , one can invoke the Furstenberg correspondence principle to locate a measure preserving system – . Our Bayesian Non-parametric Seminar.

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neuron-r pata: CRM note

http://subhajit06.blogspot.com/2012/12/crm-note.html

Thursday, December 13, 2012. Subscribe to: Post Comments (Atom). Back to Hijibiji Khata. In this post, I introduce the concept of optional and predictable projections of jointly measurable processes. Optional projections of right-continuous pro. Furstenberg limits of the Liouville function. Given a function on the natural numbers taking values in , one can invoke the Furstenberg correspondence principle to locate a measure preserving system – . Our Bayesian Non-parametric Seminar.

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Restriction estimates for the paraboloid over finite fields | Lewko's blog

https://lewko.wordpress.com/2010/09/19/restriction-estimates-for-the-paraboloid-over-finite-fields

Skip to search - Accesskey = s. Restriction estimates for the paraboloid over finite fields. Posted in Fourier Analysis. By Mark Lewko on September 19, 2010. And I recently completed a paper titled Restriction estimates for the paraboloid over finite fields. In this note we obtain some endpoint restriction estimates for the paraboloid over finite fields. Denote a hypersurface in. The restriction problem for. Is to determine for which pairs of. Does there exist an inequality of the form. Denote a finite f...

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Kuran’s Theorem | Math by Matt

https://matthewhr.wordpress.com/2014/11/15/kurans-theorem

Matt Rosenzweig's Blog. Expository Writings, Notes, Problem Solutions, etc. A Differentiation Basis without the Vitali Covering Property →. November 15, 2014. It is well-known that a harmonic function. Satisfies the mean value property. We abuse notation and use. To denote both the. Dimensional Lebesgue measure and the. Dimensional surface measure.) This mean value property actually characterizes harmonic functions. A locally integrable function. Has the property that every function. Which is harmonic in.

mathecon.wordpress.com mathecon.wordpress.com

Bubbles and Crashes: A Survey of the Efficient Market Hypothesis, Part II | Bounded Rationality

https://mathecon.wordpress.com/2011/02/12/bubbles-and-crashes-a-survey-of-the-efficient-market-hypothesis-part-ii

Bubbles and Crashes: A Survey of the Efficient Market Hypothesis, Part II. In Bubbles and Crashes. On February 12, 2011. 1 Empirical Tests of the Efficient Market Hypothesis and their Results. Efficient market hypothesis. The next subset of information considered concerned the speed at which asset prices adjusted to news and other information as well as past prices; these studies tested the. 11 Random Walks and Weak Form Tests. Around the 1970s, much of the empirical literature focused on the serial cova...

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Bubbles and Crashes: The Local Martingale Characterization of Asset Price Bubbles | Bounded Rationality

https://mathecon.wordpress.com/2013/07/09/bubbles-and-crashes-the-local-martingale-characterization-of-asset-price-bubbles

Bubbles and Crashes: The Local Martingale Characterization of Asset Price Bubbles. In Bubbles and Crashes. On July 9, 2013. We resume our Bubbles and Crashes series with this post discussing the recent influential works of Robert Jarrow and Phillip Protter on the characterization of bubbles as Local Martingales: The Local Martingale Characterization of Bubbles pdf. 9654; No Responses. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Statistical ...

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Almost Sure | A random mathematical blog

Rao’s Quasimartingale Decomposition. Filed under: Stochastic Calculus Notes. The General Theory of Semimartingales. 8212; George Lowther @ 12:30 PM. In this post I’ll give a proof of Rao’s decomposition for quasimartingales. That is, every quasimartingale decomposes as the sum of a submartingale and a supermartingale. Equivalently, every quasimartingale is a difference of two submartingales, or alternatively, of two supermartingales. This was originally proven by Rao ( Quasi-martingales. Rao’s deco...

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