ppp_exactly_n

Simulate exactly <code>n</code> points from a homogeneous Poisson Point Process over (t_min, t_max]

Simulates events from one dimensional nonhomogeneous Poisson point processes (NHPPPs) as per Trikalinos and Sereda (2024, <doi:10.48550/arXiv.2402.00358> and 2024, <doi:10.1371/journal.pone.0311311>). Functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function (Cinlar E, "Theory of stochastic processes" (1975, ISBN:0486497996)); the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme (Lewis PAW, Shedler, GS (1979) <doi:10.1002/nav.3800260304>).

Thomas Trikalinos

nhppp

Simulating Nonhomogeneous Poisson Point Processes

Yuliia Sereda

ppp_exactly_n function

<dl><dt>n</dt>
<dd>(int) the number of points to be simulated</dd>
<dt>t_min</dt>
<dd>(double) the lower bound of the time interval</dd>
<dt>t_max</dt>
<dd>(double) the upper bound of the time interval</dd></dl>

Arguments

Simulate exactly n points from a homogeneous Poisson Point Process over (t_min, t_max] — ppp_exactly_n

<dl>

<dt>n</dt>
<dd>(int) the number of points to be simulated</dd>


<dt>t_min</dt>
<dd>(double) the lower bound of the time interval</dd>


<dt>t_max</dt>
<dd>(double) the upper bound of the time interval</dd>

</dl>

ppp_exactly_n: Simulate exactly `n` points from a homogeneous Poisson Point Process over (t_min, t_max]

Description

Usage

Value

Arguments

Examples