| 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 | } |