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1. Gaussian process and Gaussian regression

Hello, I have some problem understing the Gaussian regression and the way it works. Could you please explain to me some things? The first thing I don't understand is why this regression does it use the joint/multivariate probability to get new value of the Y? The...
2. How can be used time series in sport?

Hello, noob here in statistics. How can be time series be useful to sport stats modelling? Let's take as an examplem footbal
3. What is the difference between sample algorithms and algoritms for estimating parameters?

I have red this in the website: MCMC is a family of sampling algorithms, which means given a distribution, these algorithms return samples according to this distribution. Many problem, bayesian posterior inference for instance, require you compute the posterior distribution P(θ|D), most of...
4. Weighted avearge mean

Hello here is my problem. I am analizying some tennis matches, and I am able to see the highest odd (bookmaker's odd) reached by that tennis player in N-matches (N is number of matches) Then I take all the highest odds reached by that tennis player during his N-matches , and...
5. Before to making a regression

Hello I want to ask you, before to making a regression should we understand which distribution follow the datas? Let's take an example: if the data have a poisson distribution, then I will run a Poisson regression? If the data follow a gaussian then one should use...
6. Don't understand the meaning of ''training a dataset''

Hi, I have a set of data. Those data are based on data mining from my website. I have the number of users per month who go to my website ( X ) , and the time they spent on the website on each webpage ( y ) . Now with this dataset as an example, could you...
7. Standardization of a variable

Hello, before making a linear regression, how can I know if I have to standardize a variable?
8. analisy of residual

Hi, after a regression is necessary to make an analisy of residuals to know if the model were accurate? ù Noob here, could you explaine me please, why you could do an analisy of residuals and for which purpose does it serve?
9. Density probability function considering a subinterval which have different probabilities

Hi I was studying probability density and on a site I read this example Mr. Rossi waits for a phone call from Mr. Bianchi who has announced that he will call, in an unspecified instant, between 4:00 pm and 6:00 pm. Mr. Rossi must however be away from 4.45 pm to 5.00 pm. What is the probability...
10. Bernoulli distribution

I am reading the Bernoulli distribution. In the example a dado / dice with 6 faces. By rolling 5 times a dice I have the chance to get 3 twice first, then two different numbers and finally the number ''3''? He uses a Bernoulli distribution to calculate the composite probability. let's...
11. What is teh difference between a linear regression and a correlation between 2 variables?

they seem the same thing, can someone to explaine which is the difference?
12. correlations

Hello I am new to R I want to spot if there is a correlation between the number of Aces made by a tennis player during the matches and the number of matches won I have two variable: the Aces and the matches won The I have the months: Genuary , february, April How do I...
13. Best machine learning algo to have odds on a match?

Hello. I can't code, I can't code in VBA /Excel. I was thinking to use Google Cloude machine learning / deep learning to forecast the odds of an event. I would be thankful if you suggested to me a software for predicting models which it would be simple to use for someone who is...
14. EMA and WMA computation

Hello (I am new to statistic, I am 20 years old just starting out, please don't be so rude) Given these numbers: 2, 3, 4, 8, 10, 15, 22 and here the number of days (each number for the correspective day, so 2 *1day, 3*2day, 8* 4): 1 2 3 4 5 6 7 Calculate the...
15. Prediction models and correlation in R

Forgive if I am not a seasoned statistician, I am starting out since some months. It's very difficult to starting out, I think you know it. I don't know many terms, and what it's super-difficult is also to learn R language and tools in R, how do they work. I am mining...
16. How to get the odds of an event, based on its linear regression analisy?

As the title say. I have made a linear regression analisy of an event, and I got the concentration of probabilities at a given space of the Graphic (X, Y) ... so how to extract the odds of the event to happen by this linear regression analisy? This is the grahic:
17. could you help me with this problem?

In the month of May a tennis player A reached the maximum odd of 4 every 3 matches he makes against other players who usually statistically reached in the same month the maximum odd of 3 every 3 matches.. In june the same tennis A reaches the maximum odd of 4 every 6...
18. Statistic software to calculate this?

Hello everyone. This is a difficult post... take your time to read please, and I am sorry if I have not explained myself very well I would like to calculate the average frequency of an event in a tennis match: For example, let's say that Rodger Federer in the most of the tennis...
19. Quantitative analisis and prediction model

Hello, can you explain to me how is made quantitave analisis of a bunch of data and which software do you use to create a prediction model of an event? I do data mining, I have mined a lot of data and information, which software could I use to build the prediction model...
20. I can't utilize R

Hello, I have downloaded R for UBunt but I can't code.. I don't know R language. and I don't have time to learn... what could I do? I have ubuntu... Is there any paid software? I would like it have to GUI (user interface) on which I can have statistical model...