A, B
- acute respiratory viral infection (ARVI), 359, 362, 363
- approximation by exponents, 297
- arbitrarily distributed life- and repair times, 379, 381, 393
- asymptotic analysis, 43
- batch processing, 163
- Bayesian inference, 106
- beta regression, 173–177, 179, 183, 184
- blockchain, 31–36, 38–41
C, D
- calibration, 135–138, 141–144, 146, 148
- classification algorithm, 207, 208, 213, 219
- CO2, 307, 312, 313
- community-acquired pneumonia, 359, 362, 363, 365, 366, 368
- compositional data, 115, 116, 118
- confirmatory factor analysis (CFA), 81, 82, 85–88, 91–95
- contingency tables, 238, 246
- Covid-19 (see also new coronavirus infection), 297, 302–305
- cubature method, 333–336, 339, 345, 349, 350, 352–354
- data
- databases, 31, 32, 34–36, 38–41
- depression, 395–400, 402–405, 407, 408, 410, 412–414
- developing markets, 149, 152
- devices, 371, 372, 375, 376
- dividends, 43, 44, 48, 49, 55
- double redundant system, 379–381, 393
E, F
- economic downturn, 396, 405, 413, 415
- entropies, 237, 238
- epidemiological data, 297
- Europe, 395–398, 414
- exploratory factor analysis (EFA), 81, 82, 85–90, 94, 95
- extreme value theory, 60
- fixed-income market, 333
- fixed-radius NN, 67, 68, 70, 71, 73, 74, 76–79
- FlexReg package, 99, 101, 107–110
G, H
- gas analysis, 307, 312, 316
- Gatheral model, 135–140, 143, 147
- gender, 395–401, 404, 405, 407, 408, 410–413, 415
- generalized linear model (GLM), 223
- genetic algorithm, 173, 175, 178, 184
- geographically weighted regression (GWR), 261, 262
- gestational diabetes mellitus (GDM), 67–69, 73–78
- Hamiltonian Monte Carlo (HMC), 115, 118
- higher education, 371
- Hull–White model, 333, 345, 346, 348, 349, 352, 354, 355
I, K
- implied volatility expansions, 135–137, 147
- independent and non-identically
- distributed observations, 223, 224
- insurance models, 43
- k-nearest neighbour (kNN), 67, 68, 70, 73, 74, 76–79
- kernel classification, 72, 74
L, M
- laser
- likelihood, 173–178
- link function, 173–177, 181, 184
- local Moran’s I statistic, 13, 16, 21, 24, 26
- machine learning, 207–209, 220
- MAPLE, 285, 289, 291, 299, 303
- Markov
- mean-field limit, 319, 321, 325–327
- measures, 237–241, 246
- medical care, 359, 360, 366, 367
- mixture
- morbidity, 359, 360, 362, 367
- multi-armed bandit (MAB), 163, 164, 166, 168
- multivariate regression, 115
N, O
- network, 371–376
- new coronavirus infection (see also Covid-19), 359–363, 365, 367, 368
- non-parametric, 67, 68, 70
- normalized data, 187, 192, 193, 195
- NoSQL, 32–41
- numerical method, 199
- O2, 307, 312, 313
- official land price, 261, 264–267, 271, 272
- optimization, 43, 45, 55
P, R
- performance inertia, 158
- persistence, 149–152, 154–159
- pintograph, 285
- point processes, 18, 19
- political trust, 81, 82, 84, 87, 89–95
- prediction method, 7
- PROMISE, 275, 276, 282
- proportions, 99–101
- Poisson regression model, 223, 229–231
- regenerative processes, 380, 381
- reinsurance, 43, 44, 55
- reliability, 82, 87, 91, 93, 94
- Renyi’s pseudodistance, 223, 224
- respiratory cycle, 307, 311, 312, 314
- robustness, 223, 224, 230, 231
S, T
- simulations, 238, 246
- software
- spatial
- clustering, 13
- statistics, 262
- SQL, 32, 34, 36–41
- Stratonovich integral, 333, 337
- tail distribution, 57
- temporal variation, 261
- tests of fit, 237, 238, 241, 242
- thyroid
- time series data, 297, 298
- topological data analysis (TDA), 207
U, V, W
- UCB, 163, 165, 168, 170
- validity, 81, 82, 85, 87, 91, 93–95
- volcanic areas, 13–17, 19
- WEKA (Waikato Environment for Knowledge Analysis), 275–279, 281–283
- Wiener space, 349–351
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