io.github.mandar2812.dynaml.probability
MeasurableDistrRV
Related Doc:
package probability
The base random variable
A function with a defined inverse and Jacobian of inverse as an PushforwardMap instance.
Return the random variable that results from multiplying a provided quantity in the Domain to the current random variable.
Return the random variable that results from multiplying a provided quantity in the Domain to the current random variable.
The value to be multiplied to this random variable.
An implicit parameter, which represents a Field defined over the set Domain.
Return the random variable that results from multiplying a provided random variable to the current random variable.
Return the random variable that results from multiplying a provided random variable to the current random variable.
The random variable to be multiplied to this.
An implicit parameter, which represents a Field defined over the set Domain.
Return the random variable that results from adding a provided quantity in the Domain to the current random variable.
Return the random variable that results from adding a provided quantity in the Domain to the current random variable.
The value to be added to this random variable.
An implicit parameter, which represents a Field defined over the set Domain.
Return the random variable that results from adding a provided random variable to the current random variable.
Return the random variable that results from adding a provided random variable to the current random variable.
The random variable to be added to this.
Return the random variable that results from subtracting a provided quantity in the Domain from the current random variable.
Return the random variable that results from subtracting a provided quantity in the Domain from the current random variable.
The value to be subtracted from this random variable.
An implicit parameter, which represents a Field defined over the set Domain.
Return the random variable that results from subtracting a provided random variable from the current random variable.
Return the random variable that results from subtracting a provided random variable from the current random variable.
The random variable to be subtracted from this.
An implicit parameter, which represents a Field defined over the set Domain.
Cartesian product with another random variables which has a defined probability distribution.
Cartesian product with another random variables which has a defined probability distribution.
Outputs the cartesian product between two random variables.
Outputs the cartesian product between two random variables.
The domain of the other random variable
The random variable which forms the second component of the cartesian product.
Transform the current random variable on Domain to a morphed random variable on OtherDomain
Transform the current random variable on Domain to a morphed random variable on OtherDomain
The base random variable
The base random variable
Alias for sample.run()
Alias for sample.run()
A function with a defined inverse and Jacobian of inverse as an PushforwardMap instance.
A function with a defined inverse and Jacobian of inverse as an PushforwardMap instance.
Create an iid random variable from the current (this)
Create an iid random variable from the current (this)
The number of iid samples of the base random variable.
Generate a sample from the random variable
Generate a sample from the random variable
The actual probability density function is represented as a breeze Density object.
The actual probability density function is represented as a breeze Density object.
A measurable function of a continuous random variable with a defined probability density function.
The domain of the base random variable
The output set of the function
The type representing the Jacobian of inverse of the map func