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Simulate Gaussian copula with negative pair-wise correlations

I am now trying to simulate a multidimensional (let's say 4 dimensions) Gaussian copula. Given software restrictions, I can only use Excel for this simulation. That is why I am trying to implement the ...
S. Z.'s user avatar
  • 1
2 votes
1 answer
42 views

Steps for Forecasting with known copula's parameters

I want to calculate the Mean absolute percentage error (MAPE) for my copula model. I am stuck at the forecasting step. I am not specifying the copula here for different data pairs. I have two time ...
nadeem's user avatar
  • 23
4 votes
1 answer
206 views

Generate nonnegative variates with mean 1 and specified variance-covariance

Problem In several applications in surveys, it would be helpful to be able to generate a set of $R$ $n$-dimensional variates with the following properties: Has mean vector $1$ Has a specified ...
bschneidr's user avatar
  • 452
1 vote
0 answers
126 views

Simulating Correlated Continuous Variable Given 2 Existing Binary Variables

I am looking to draw samples from a Beta distribution (let's say α = 3 and β = 2) conditional on two existing binary variables in a correlated manner. Let's call the variable distributed as a Beta as <...
CVos's user avatar
  • 11
0 votes
1 answer
136 views

Synthetic multivariate time series for anomaly detection

I built an anomaly detection classifier which worked perfectly with the anomaly detection task in my dataset (multivariate time series). Now I'm trying to understand what are its weakness and my idea ...
Fabio's user avatar
  • 115
5 votes
1 answer
1k views

How to forecast from GARCH-copula model?

I am reading to understand how to forecasting time-series data from the GARCH-copula model. I am looking forward to understanding the steps. From my understanding, we should follow the following steps:...
Maryam's user avatar
  • 1,680
1 vote
1 answer
84 views

How to simulate from Nelsen 4.2.12 copula?

I want to simulate a 3 dimensional copula from Nelsen 4.2.12 copula (copula marked as 4.2.12 in Nelsen 2006, page 116). I found an algorithm, which uses partial derivatives, in Nelsen (2006), page 41 ...
Roopali Singh's user avatar
1 vote
1 answer
199 views

Simulate random variables with "inner" and "outer" correlation

Let us say we have data grouped in $m$ different classes, each of size $n_j$ for $j = 1,...,m$. We denote as $X_k^{(j)}$ the $k$-th member of group $j$. We want to simulate unit-variance random ...
Jesús A. Piñera's user avatar
5 votes
1 answer
204 views

Generating values from Normal Mixture distributions via copulas

I have some values with unknown joint distribution, but I am assuming that the marginal distributions are two-part Normal Mixtures. I am modelling the dependency between the distributions via vine-...
Ravonrip's user avatar
  • 193
1 vote
0 answers
41 views

Number of MC Simulations in Multivariate Model with Copulas

I am working on a project with the following characteristics: 4,000 hydroelectricity generation time series 800 futures time series (each corresponding to at least one hydroelectricity time series) ...
CasusBelli's user avatar
0 votes
1 answer
226 views

How can I simulate value from a parametric copula using no parametric margins

I know that if you fit your variables with parametric margins (e.g. beta, gamma) we can easily simulate from copula using the function Mvcd and rMvcd in R.but if you want to work with no parametric ...
NAAMA's user avatar
  • 39
1 vote
0 answers
1k views

How can I simulate a student-t copula in R based on marginals?

I'm trying to simulate the joint distribution of Brent oil prices and an exchange rate to compare it to the empirical distribution. For this, I have been following this article: https://...
Santiago Rico's user avatar
1 vote
0 answers
21 views

How to use bivariate distributions [Year i vs. Year i + 1] to simulate a variable over time in R?

The basic thing I am trying to do is model a person's income over time, using copula functions in R. The data that I have is a bunch of person-level data, which tells us someone's age, their income in ...
Benjamin Anderson's user avatar
3 votes
1 answer
128 views

simulation vine copulas

I am trying to simulate the following structure: $C_{123}(C_{12}(u_1, u_2; \theta_1), u_3; \theta_2)$ I am able to simulate the inner $C_{12}$, I do simply use the method of the conditional copulas. ...
Vittorio Apicella's user avatar
0 votes
0 answers
85 views

Why does correlation changes so much when converting data to pseudo observations for copula fitting?

I'm trying to model the joint distribution of time to failure of 2 (in future possibily more than 2) components. So far what I know is the following: The marginals of these components are ...
mickkk's user avatar
  • 949

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