forked from personal/squiggle.c
continue nuclear recovery modelling.
This commit is contained in:
parent
2096b363bd
commit
fc17561028
Binary file not shown.
BIN
examples/10_nuclear_recovery/example
Executable file
BIN
examples/10_nuclear_recovery/example
Executable file
Binary file not shown.
|
@ -8,13 +8,37 @@ double laplace(double successes, double trials){
|
|||
return (successes + 1)/(trials + 2);
|
||||
}
|
||||
|
||||
double yearly_probability_nuclear_apocalypse(double year, uint64_t* seed)
|
||||
double yearly_probability_nuclear_collapse(double year, uint64_t* seed)
|
||||
{
|
||||
double successes = 0;
|
||||
double failures = (year - 1960);
|
||||
|
||||
return sample_laplace(successes, failures, seed);
|
||||
// ^ can change to (successes + 1)/(trials + 2)
|
||||
// to get a probability,
|
||||
// rather than sampling from a distribution over probabilities.
|
||||
}
|
||||
double yearly_probability_nuclear_collapse_2023(uint64_t* seed){
|
||||
return yearly_probability_nuclear_collapse(2023, seed);
|
||||
}
|
||||
|
||||
double yearly_probability_nuclear_collapse_after_recovery(double year, double rebuilding_period_length_years, uint64_t* seed){
|
||||
// assumption: nuclear
|
||||
double successes = 1.0;
|
||||
double failures = (year - rebuilding_period_length_years - 1960);
|
||||
return sample_laplace(successes, failures, seed);
|
||||
}
|
||||
double yearly_probability_nuclear_collapse_after_recovery_example(uint64_t* seed){
|
||||
double year = 2070;
|
||||
double rebuilding_period_length_years =30;
|
||||
// So, there was a nuclear collapse in 2040,
|
||||
// then a recovery period of 30 years
|
||||
// and it's now 2070
|
||||
return yearly_probability_nuclear_collapse_after_recovery(year, rebuilding_period_length_years, seed);
|
||||
}
|
||||
|
||||
double yearly_probability_nuclear_collapse_after_recovery_antiinductive(uint64_t* seed){
|
||||
return yearly_probability_nuclear_collapse(2023, seed)/2;
|
||||
}
|
||||
|
||||
int main()
|
||||
{
|
||||
|
@ -22,7 +46,40 @@ int main()
|
|||
uint64_t* seed = malloc(sizeof(uint64_t));
|
||||
*seed = 1000; // xorshift can't start with 0
|
||||
|
||||
int n = 1000 * 1000;
|
||||
int num_samples = 1000000;
|
||||
|
||||
// Before a first nuclear collapse
|
||||
printf("## Before the first nuclear collapse\n");
|
||||
struct c_i c_i_90_2023 = get_90_confidence_interval(yearly_probability_nuclear_collapse_2023, seed);
|
||||
printf("90%% confidence interval: [%f, %f]\n", c_i_90_2023.low, c_i_90_2023.high);
|
||||
|
||||
double* yearly_probability_nuclear_collapse_2023_samples = malloc(sizeof(double) * num_samples);
|
||||
for (int i = 0; i < num_samples; i++) {
|
||||
yearly_probability_nuclear_collapse_2023_samples[i] = yearly_probability_nuclear_collapse_2023(seed);
|
||||
}
|
||||
printf("mean: %f\n", array_mean(yearly_probability_nuclear_collapse_2023_samples, num_samples));
|
||||
|
||||
// After the first nuclear collapse
|
||||
printf("\n## After the first nuclear collapse\n");
|
||||
struct c_i c_i_90_2070 = get_90_confidence_interval(yearly_probability_nuclear_collapse_after_recovery_example, seed);
|
||||
printf("90%% confidence interval: [%f, %f]\n", c_i_90_2070.low, c_i_90_2070.high);
|
||||
|
||||
double* yearly_probability_nuclear_collapse_after_recovery_samples = malloc(sizeof(double) * num_samples);
|
||||
for (int i = 0; i < num_samples; i++) {
|
||||
yearly_probability_nuclear_collapse_after_recovery_samples[i] = yearly_probability_nuclear_collapse_after_recovery_example(seed);
|
||||
}
|
||||
printf("mean: %f\n", array_mean(yearly_probability_nuclear_collapse_after_recovery_samples, num_samples));
|
||||
|
||||
// After the first nuclear collapse (antiinductive)
|
||||
printf("\n## After the first nuclear collapse (antiinductive)\n");
|
||||
struct c_i c_i_90_antiinductive = get_90_confidence_interval(yearly_probability_nuclear_collapse_after_recovery_antiinductive, seed);
|
||||
printf("90%% confidence interval: [%f, %f]\n", c_i_90_antiinductive.low, c_i_90_antiinductive.high);
|
||||
|
||||
double* yearly_probability_nuclear_collapse_after_recovery_antiinductive_samples = malloc(sizeof(double) * num_samples);
|
||||
for (int i = 0; i < num_samples; i++) {
|
||||
yearly_probability_nuclear_collapse_after_recovery_antiinductive_samples[i] = yearly_probability_nuclear_collapse_after_recovery_antiinductive(seed);
|
||||
}
|
||||
printf("mean: %f\n", array_mean(yearly_probability_nuclear_collapse_after_recovery_antiinductive_samples, num_samples));
|
||||
|
||||
free(seed);
|
||||
}
|
||||
|
|
|
@ -135,6 +135,7 @@ double sample_beta(double a, double b, uint64_t* seed)
|
|||
}
|
||||
|
||||
double sample_laplace(double successes, double failures, uint64_t* seed){
|
||||
// see <https://wikiless.esmailelbob.xyz/wiki/Beta_distribution?lang=en#Rule_of_succession>
|
||||
return sample_beta(successes + 1, failures + 1, seed);
|
||||
}
|
||||
|
||||
|
|
Loading…
Reference in New Issue
Block a user