예제 #1
0
int main(){
    gsl_rng *r = apop_rng_alloc(2312311);
    int empirical_size = 5e3;
    apop_model *expo = apop_model_set_parameters(apop_exponential, 1.7);
    assert (apop_kl_divergence(expo, expo) < 1e-4);
    apop_data *empirical = apop_data_alloc(empirical_size, 1);
    for (int i=0; i<empirical_size; i++)
        apop_draw(apop_data_ptr(empirical, i, 0), r, expo);
    apop_model *pmf = apop_estimate(empirical, apop_pmf);
    assert(apop_kl_divergence(pmf,expo) < 1e-4);
    apop_data_free(empirical);
}
예제 #2
0
파일: stats.c 프로젝트: b-k/luminosity
ykl_s make_yule(char const *zila, int y) {
    static gsl_matrix *indices;
    if (!indices) {
        indices = gsl_matrix_calloc(65,1);
        for (int i=0; i< 64; i++) gsl_matrix_set(indices, i,0, i);
    }
    apop_data *col = make_histo(zila, y);
    apop_data ww = (apop_data) {
        .weights=col->vector, .matrix=indices
    };
    apop_data *d = apop_data_transpose(col);
    apop_data *exp = apop_data_rank_expand(d);
    apop_model *m = apop_estimate(exp, apop_yule);
    apop_model *n = apop_estimate(exp, apop_lognormal);
    ykl_s out = (ykl_s) {
        .yule=apop_data_get(m->parameters, .col=-1/*, .rowname="mu"*/),
         .ln=apop_data_get(n->parameters, .col=-1/*, .rowname="mu"*/),
          .lnstderr=sqrt(apop_data_get(n->parameters, .col=-1, .row=1/*, .rowname="mu"*/)),
           .kl = apop_kl_divergence(apop_estimate(&ww, apop_pmf), m),
            .lnkl = apop_kl_divergence(apop_estimate(&ww, apop_pmf), n),
             .mean = apop_matrix_mean(col->matrix)
    };
    apop_data_free(d);
    apop_data_free(exp);
    apop_model_free(m);
    return out;
}

int main() {
    printf("zila|year|yule_p|kl_div|mu|ln_mu|ln_sigma|ln_kl\n");
    apop_db_open("b.db");
    apop_data *zilas = apop_query_to_text("select admname from ppl");
    for (int i=0; i< *zilas->textsize; i++)
        for (int y=2001; y<= 2005; y++) {
            ykl_s ykl = make_yule(*zilas->text[i], y);
            printf("%20s| %i| %g| %g| %g| %g| %g|%g\n", *zilas->text[i], y, ykl.yule, ykl.kl, ykl.mean, ykl.ln, ykl.lnstderr, ykl.lnkl);
        }
    //apop_plot_histogram(m->data->weights, 64, .output_file="histo");
}