5 | | int main() { |
| 8 | int main(){ |
| 9 | //data |
| 10 | vector<vector<vector<string>>> string_lists; |
| 11 | string_lists.push_back(vector<vector<string>>()); |
| 12 | string_lists.push_back(vector<vector<string>>()); |
| 13 | string_lists.push_back(vector<vector<string>>()); |
| 14 | |
| 15 | char* file_strings[3] = {"c:\\ar_normal.txt", "c:\\ar_student.txt", "c:\\ar_cauchy.txt"}; |
| 16 | |
| 17 | |
| 18 | for(int i = 0;i<3;i++) |
| 19 | { |
| 20 | ifstream myfile(file_strings[i]); |
| 21 | if (myfile.is_open()) |
| 22 | { |
| 23 | while ( myfile.good() ) |
| 24 | { |
| 25 | string line; |
| 26 | getline(myfile,line); |
| 27 | |
| 28 | vector<string> parsed_line; |
| 29 | while(line.find(',') != string::npos) |
| 30 | { |
| 31 | int loc = line.find(','); |
| 32 | parsed_line.push_back(line.substr(0,loc)); |
| 33 | line.erase(0,loc+1); |
| 34 | } |
| 35 | |
| 36 | string_lists[i].push_back(parsed_line); |
| 37 | } |
| 38 | myfile.close(); |
| 39 | } |
| 40 | } |
| 41 | |
16 | | cout << "Expected value of Theta is: " << Ar.posterior().mean() << endl; |
17 | | cout << "NC of posterior: " << Ar.posterior().lognc() << endl; |
| 46 | for(int j = 0;j<string_lists.size();j++) |
| 47 | { |
| 48 | |
| 49 | for(int i = 0;i<string_lists[j].size();i++) |
| 50 | { |
| 51 | ARX Ar; |
| 52 | Ar.set_statistics ( 1, V0 ); //nu is default (set to have finite moments) |
| 53 | Ar.set_constant ( false ); |
| 54 | Ar.validate(); |
| 55 | // forgetting is default: 1.0 |
| 56 | |
| 57 | vector<vec> conditions; |
| 58 | for(int k = 1;k<string_lists[j][i].size();k++) |
| 59 | { |
| 60 | vec condition; |
| 61 | condition.ins(0,string_lists[j][i][k]); |
| 62 | conditions.push_back(condition); |
| 63 | |
| 64 | if(conditions.size()>1) |
| 65 | { |
| 66 | conditions[k-2].ins(0,string_lists[j][i][k]); |
| 67 | |
| 68 | } |
| 69 | |
| 70 | if(conditions.size()>2) |
| 71 | { |
| 72 | conditions[k-3].ins(0,string_lists[j][i][k]); |
| 73 | |
| 74 | //cout << conditions[k-3] << endl;// << conditions[k-3].left(1) << conditions[k-3].right(2); |
| 75 | |
| 76 | Ar.bayes(conditions[k-3].left(1),conditions[k-3].right(2)); |
| 77 | } |
| 78 | } |
| 79 | |
| 80 | ofstream myfile; |
| 81 | myfile.open("c:\\classic_ar1.txt",ios::app); |
| 82 | myfile << Ar.posterior().mean()[0] << ";"; |
| 83 | myfile.close(); |
| 84 | |
| 85 | myfile.open("c:\\classic_ar2.txt",ios::app); |
| 86 | myfile << Ar.posterior().mean()[1] << ";"; |
| 87 | myfile.close(); |
| 88 | |
| 89 | |
| 90 | |
| 91 | } |
| 92 | |
| 93 | ofstream myfile; |
| 94 | myfile.open("c:\\classic_ar1.txt",ios::app); |
| 95 | myfile << endl; |
| 96 | myfile.close(); |
| 97 | |
| 98 | myfile.open("c:\\classic_ar2.txt",ios::app); |
| 99 | myfile << endl; |
| 100 | myfile.close(); |
| 101 | } |