poisson distribution,

Q: negative log likelihood

A: Below is solution code to calculate negative log likelihood, first we get mean and standard…

Q: Explain the Hidden Markov model.

A: given data is Explain the Hidden Markov model.

Q: Explain the Hidden Markov model.

A: Introduction : The Hidden Markov Model (HMM) is a straightforward technique for versioning…

Q: Explain the Hidden Markov model.

A: Hidden Markov Model (HMM) is a statistical Markov model in which the system being modelled is…

Q: A distribution sometimes used to model the largest item in a sample is the extreme value…

A: A distribution sometimes used to model the largest item in a sample is the extreme…

Q: supervised model

A: Supervised learning is a technique by which you can utilize named preparing information to prepare a…

Q: A Poisson distribution is characterized by one parameter. True False

A: A Poisson distribution has only one parameter, which we denote by θ, pronounced theta

Q: erval estimation with an example.

A: Interval Estimation In statistics, interval estimation is the evaluation of a population parameter,…

Q: Bayesian Network

A: Q.

Q: The associated R function is dlogis (x, location = 0, scale = 1) is for _________ distribution.

A: The associated R function is dlogis (x, location = 0, scale = 1) is for _________ distribution.

Q: hidden markov chain's historical significance.

A: Why is hidden Markov important?   A hidden Markov model (HMM) is a statistical model that can be…

Q: 157. The associated R function is dlogis (x, location = 0, scale = 1) is for _________ distribution.

A: Question 157. The associated R function is dlogis (x, location = 0, scale = 1) is for _________…

Q: Explain the ER diagram

A: ER diagram: it is the entity relationship diagram, which helps in displaying the relationship of the…

Q: Why elliptic curves important?

A: Elliptic curves are very significant in number theory and are a hot topic of study right now; they…

Q: Differentiate between probability theory and fuzzy theory

A: Actually, given question regarding  probability theory and fuzzy theory.

Q: natural deduction

A: Given :- The logical expression or statements is mention in the above given question   Need to proof…

Q: A correlation coefficient equal to means 100% correlation in the opposing sens O -100 O 1

A: Correlation is the measure of extent into which the changes in the values of two or more variables…

Q: F R G e Bayesian network required for 03

A:

Q: Calculate time complexity using amortized analysis

A: Amortized analysis: Amortized Analysis is utilized in algorithms when one operation is relatively…

Q: The associated R function is dlnorm(x, meanlog = 0, sdlog = 1) is for ________ distribution. a)…

A: Please find the answer below :

Q: e markets an

A: A malicious software (malware) market is a network of organisations, individuals, and websites that…

Q: Gien Model DataP(Duta P(DuraMedel) -- ar P(DIM) how that the

A: AS per our company's guidelines we are supposed to answer three parts. kindly,repost other parts in…

Q: According to the COCOMO model, effort is a _________ function of KDSI.    a. Linear   b.…

A: According to the COCOMO model, effort is a _________ function of KDSI.

Q: Q5/ The number of flaws in bolts of cloth in textile manufacturing is assumed to be Poisson…

A: (a) Let X be the number of flaws in 1 square meter of cloth. Then X has a Poisson distribution with…

Q: The associated R function is dlogis (x, location = 0, scale = 1) is for _________ distribution. a)…

A: FUNCTION - The dlogis() method is a standard function present in the stats package.   - The dlogis()…

Q: The associated R function is dlogis (x, location = 0, scale = 1) is for _________ distribution. a)…

A: The correct answer is a. a) Logistic

Q: What is Church’s hypothesis?

A: In 1936, A method named as lambda-calculus was created by Alonzo Church in which the Church numerals…

Q: the Markov chain state diagram for the above ta

A: Draw the Markov chain state diagram for the above table.

Q: 1- Source entropy. 2- Marginal entropy. 3- Joint entropy. 4- Conditional entropy H(Y|X). 5- Losses…

A: ANSWER: Binary Source: Binary deliveries contain PC clear form of the application, meaning it is…

Q: Polynomial regression is used tổ model! A Linear model (B Non-linear model Both Neither

A: answer is  B Non- Linear model    Polynomial regression is used to model Non-linear model

Q: Question: Define prior and posterior probability[ Short

A:

Q: egies may be ut

A: Given   What strategies may be utilized to decrease the amount of overhead caused by page table…

Q: Question5: map the example to the best Flynn's classification

A: Flynn's classification: Flynn's classification is a categorization of forms of the parallel computer…

Q: example of shannon - weaver model

A:

Q: Simulation using LOGISM: F(x,y,w,z) =∑m (0,1,2,3,4,6,11,14)

A: Logism is an educational tool for designing and simulating digital logic circuit.

Q: Figure 2: The Bayesian network required for Q3 (b).

A:

Q: setting up, solving rama

A: I need help setting up, solving ramanujan

Q: Data Mining Since it was first tested until it was finally marketed, the development of test…

A: MEAN: The arithmetic mean, also called the arithmetic average, is the center value of a finite set…

Q: what are assumptions of MARKOVITZ theory

A: Assumptions are listed below

Q: O b. Waterfall Model

A: Refer to step 2 for answer

Q: to save money with model-driven en

A: Given   Is it possible to save money with model-driven engineering?

Q: ple of need to know basis F Information

A: EXPLANATION: The crimes that are cyber-dependant which are basically the target systems, networks,…

Q: Which of the following is true for the normal distribution? o the mean, median, and mode are all…

A: Given: Which of the following statements about the normal distribution is correct?

Q: Conclusion for a analysis based on a ping pong ball launcher

A: Ping-Pong Launcher is a vacuum powered gun which is used as compelling demonstration device in…

Q: best and worst-case time complexity

A: Given:- Code fragment is mention as, myFunction(A[], B[]) {   n=A.length   m=B.length   for i =1 to…

Q: Write Cox's partial likelihood. What is the contribution of the ith censored observation to the…

A: To Do: To explain The Cox partial likelihood.

Q: Discuss the historical importance of the concealed markov chain.

A: Markov Chains are extremely useful for modelling discrete-time, discrete-space stochastic processes…

Q: Estimate the mean of 11, 12 and 13 respectively. Estimate the variance of r1, 12 and 13…

A: Importing the modules and dataset :

Q: Match each of the supervised learning models below with the most commonly used loss function (Le.…

A: Given  : Polynomial Regression Models Logistic regression models. To find : Cost function for…