A priori probability

speed of the mean reversion. θ is the mean value of the variance. σ is the volatility of the variance. These three are positive constants. Ws(t) and Wv(t) are Brownian motion variables, and ρ is the correlation coefficient between them. In some probability measure, we assume dWs(t) * dWv(t) = ρdt. For computational convenient, it is general to employee logarithm to transform the asset price process S(t) into X(t) = Log (S(t)), and apply Itô’s Lemma(3) to equations (1). (3) We can get following…

ASSESSMENT ITEM 3 - ASSIGNMENT 1 SUDHEER KUMAR NANDIGAM 11622446 1. -29 Binary Format of 29: 11101 16 bit binary representation of 29 is 00000000 00011101 16 bit signed magnitude representation of -29 is 10000000 00011101 2’s complement form of -29 is NOT (00000000 00011101) +1 NOT (00000000 00011101) is 11111111 11100010 11111111 11100010 +1 11111111 11100011 2’s complement form of -29 is 11111111 11100011 2. 0 01111110 10100000000000000000000 Sign bit: 0 i.e.…

s: Translations are the process of moving around all of the coordinates that make up a shape. All the points move the same distance in the same direction. The transformation is isometric which means that it does not change in shape or sides. If the pre-image moves either right or up the coordination would be adding. If the pre-image moves either left or down the image would be subtraction. The picture to the right is an example of translation. The answer to the question at the bottom would be…

The general model introduced in Fig.4.10 is commonly used to design stable high-order modulators. If a chain of integrators is used to form the loop filter, two main modulators typologies exist [1, 5, 8]: a cascade of M delaying integrators is used to form the filter, where the feedback and the input signals are being fed to each integrator input with different weight factors a_i and b_i (Fig.4.11). The transfer function of the signal filter, L_0, is: while the feedback filter L_1 can be…

is an exact probability model for the number of automobile accidents over the past year for the 50 medical interns? (Note: The 11 reported accidents include both police-reported and non-police-reported accidents). Answer:- Fixed Proportion = .065 Number of interns involved in accident last year = total number of interns*.065. n = .065*It where n denoted interns in an accident and It denotes the total number of interns. P(n) = ItCn*.065^n*.935^(It-n)......from .binomial probability…

One of the many questions posed by those searching for answers on Just Noticeable Difference was if JND could be a suitable as a unit of measure. Analyzing data from two prior experiments, where participants were to discriminate different colors when shown different brightness intervals and applying it to sound also. Once all the data was analyzed, the researchers determined that JND could not be used as a unit of measure (Newman, 1933). Although JND could not be used as a unit of measurement,…

List the probability value for each possibility in the binomial experiment that was calculated in MINITAB with the probability of a success being ½. (Complete sentence not necessary) P(x=0) P(x=6) P(x=1) P(x=7) P(x=2) P(x=8) P(x=3) P(x=9) P(x=4) P(x=10) P(x=5) 4. Give the probability for the following based on the MINITAB calculations with the probability of a success being ½. (Complete sentence not necessary) P(x?1) P(x<0) P(x>1) P(x?4) P(4 5. Calculate the mean and standard…

Equation of trendline 1 calculation: m= rise/run = 12/15 = 0.8 c= 5.9 y= 0.8x + 5.9 Equation of trendline 2 calculation: m= rise/run = 25/45 = 0.5 c= 17.6 y= 0.5x +17.6 Point of intersection: Equate both trendlines to find point of intersection 0.8x + 5.9 = 0.5x + 17.6 x= 39 Since x=39, x2= 9 as x2 represents x in descending order. R2: R2 for trendline 1 = 0.98 Correlation coefficient for trendline 1= 0.96 R2 for trendline 2 = 0.98 Correlation coefficient for trendline 2= -0.99 Ratio…

This September, I started my MSc at UBC SPPH with a goal of becoming a researcher on clinical trials. During the past semester, I discovered I love it more than I could imagine. I enjoy everything that I am doing, especially my research which I can work until 3 am in the morning without feeling tired or exhausted. I count myself as a fortunate person as I have found what I love, unlike many other people who spend their entire life looking for what they like. However, as a person who wants to…

Attribute selection is the process of identifying and removing as much of the irrelevant and redundant information as possible from a dataset. If the data dimensions are reduced, we will be able to improve the performance of the applied classification algorithms. They will function faster, more efficiently and will be with an improved classification accuracy. As an addition we can also execute data visualization, and increase the insight of the potential classification model [] . There are many…