|
deep learning |
6 |
|
artificial intelligence |
5 |
|
attitude of health personnel |
5 |
|
attitude to computers |
5 |
|
computer systems - economics |
5 |
|
incidence |
5 |
|
large vessel occlusion |
5 |
|
physicians - psychology |
5 |
|
practice management - organization & administration |
5 |
|
ai |
4 |
|
asia |
4 |
|
chest radiographs |
4 |
|
chinese |
4 |
|
covid-19 |
4 |
|
ct |
4 |
|
em algorithm |
4 |
|
garch model |
4 |
|
hcc |
4 |
|
health burden |
4 |
|
hong kong |
4 |
|
imaging |
4 |
|
ischemic stroke |
4 |
|
lirads |
4 |
|
liver cancer |
4 |
|
pneumonia |
4 |
|
thrombectomy |
4 |
|
acute ischemic stroke |
3 |
|
ar(p) model |
3 |
|
autoregression |
3 |
|
auxiliary information |
3 |
|
binary data |
3 |
|
bootstrap method |
3 |
|
buffered ar model |
3 |
|
buffered ar(p) model |
3 |
|
buffered ar-garch model |
3 |
|
buffered threshold model |
3 |
|
cointegration |
3 |
|
concomitant variable |
3 |
|
conditional least squares |
3 |
|
constrained binomial model |
3 |
|
da algorithm |
3 |
|
decision tree |
3 |
|
exchange rate |
3 |
|
factor analysis |
3 |
|
geometric ergodicity |
3 |
|
hyperdense middle cerebral artery sign |
3 |
|
hysteresis |
3 |
|
kernel method |
3 |
|
likelihood ratio test |
3 |
|
machine learning |
3 |
|
marked empirical process |
3 |
|
multinomial data |
3 |
|
nonlinear time series |
3 |
|
pairs trading |
3 |
|
power statistic |
3 |
|
prognosis |
3 |
|
qmle |
3 |
|
ranked set sampling |
3 |
|
ranking data |
3 |
|
ratio estimator |
3 |
|
regression estimator |
3 |
|
return maximization |
3 |
|
risk control |
3 |
|
segmentation |
3 |
|
simplex constraints |
3 |
|
threshold ar model |
3 |
|
threshold ar(p) model |
3 |
|
threshold model |
3 |
|
variable selection |
3 |
|
asymptotic distribution |
2 |
|
autoregressive conditional duration |
2 |
|
autoregressive conditional duration models |
2 |
|
basket trading |
2 |
|
bayesian estimation |
2 |
|
best linear unbiased estimator |
2 |
|
bic |
2 |
|
black-litterman |
2 |
|
block gibbs sampling |
2 |
|
bootstrapping |
2 |
|
canada - epidemiology |
2 |
|
cantonese |
2 |
|
case fatality rate |
2 |
|
co-integration |
2 |
|
correlation stress testing |
2 |
|
data mining. |
2 |
|
decision making |
2 |
|
deprivation |
2 |
|
disease outbreaks - statistics & numerical data |
2 |
|
factor score |
2 |
|
financial engineering. |
2 |
|
finite mixture model |
2 |
|
gamma rays: stars |
2 |
|
garch |
2 |
|
gibbs sampler |
2 |
|
goodness-of-fit test |
2 |
|
gramcharlier density |
2 |
|
heritage conservation |
2 |
|
heterogeneity |
2 |
|
hong kong - epidemiology |
2 |
|
intervention model |
2 |
|
kurtosis |
2 |
|
lagrange multiplier test |
2 |
|
land value |
2 |
|
logistic mixture |
2 |
|
mahalanobis distance |
2 |
|
market microstructure |
2 |
|
mean squared error |
2 |
|
methods: statistical |
2 |
|
mixture time series |
2 |
|
mixtures |
2 |
|
monte carlo expectation- maximization algorithm |
2 |
|
multiple comparisons (statistics) |
2 |
|
multivariate portmanteau test |
2 |
|
particle swarm optimization |
2 |
|
poisson |
2 |
|
preventive health services - statistics & numerical data |
2 |
|
pulsars: general |
2 |
|
ranked data |
2 |
|
ranked set sample |
2 |
|
realized volatility |
2 |
|
relative precision |
2 |
|
relative value trading |
2 |
|
residual autocorrelations |
2 |
|
scenario test |
2 |
|
sentiment analysis |
2 |
|
ses |
2 |
|
severe acute respiratory syndrome - mortality - virology |
2 |
|
skewness |
2 |
|
small-area analysis |
2 |
|
social media |
2 |
|
socioeconomic status index |
2 |
|
statistical arbitrage |
2 |
|
statistical inference |
2 |
|
suicide |
2 |
|
teaching statistics |
2 |
|
technical trading rules |
2 |
|
text mining |
2 |
|
tgarch-gc model |
2 |
|
threshold garch model |
2 |
|
threshold models |
2 |
|
valuation |
2 |
|
value-at-risk |
2 |
|
zero-inflation |
2 |
|
2dlda |
1 |
|
62d10 |
1 |
|
62f07 |
1 |
|
62f99 |
1 |
|
62h25 |
1 |
|
adult |
1 |
|
algorithms |
1 |
|
alternating expectation conditional maximization (aecm) |
1 |
|
analytic formula |
1 |
|
asian continental ancestry group |
1 |
|
auc |
1 |
|
backward induction |
1 |
|
barrier structures |
1 |
|
bayes theorem |
1 |
|
bayesian analysis |
1 |
|
bayesian approach |
1 |
|
bayesian finite mixture model |
1 |
|
bayesian inference |
1 |
|
bayesian method |
1 |
|
bayesian variational inference |
1 |
|
bidirectional long short-term memory network |
1 |
|
bilinear systems |
1 |
|
blood donors - supply & distribution |
1 |
|
building conservation |
1 |
|
capm |
1 |
|
care-based ethics |
1 |
|
carr model |
1 |
|
censored and truncated data |
1 |
|
clearinghouse |
1 |
|
clustering |
1 |
|
cm |
1 |
|
collaborative clustering |
1 |
|
common mean |
1 |
|
competitive clustering |
1 |
|
composite factor |
1 |
|
computer simulation |
1 |
|
confidence interval |
1 |
|
content analysis |
1 |
|
contract bridge |
1 |
|
correct selection |
1 |
|
cost structure |
1 |
|
covariance matrix estimation |
1 |
|
cultural study |
1 |
|
cusum chart |
1 |
|
data augmentation |
1 |
|
data reduction |
1 |
|
data visualization |
1 |
|
decision tree model |
1 |
|
dianchi lake basin |
1 |
|
distance-based model |
1 |
|
distance-based models |
1 |
|
donor behaviour |
1 |
|
double sampling |
1 |
|
duplicate bridge tournament |
1 |
|
duplication |
1 |
|
dynamic programming |
1 |
|
ecme |
1 |
|
economic valuation |
1 |
|
em |
1 |
|
expectation conditional maximization (ecm) |
1 |
|
expectation maximization (em) |
1 |
|
expected long-term growth |
1 |
|
experimental design |
1 |
|
face recognition |
1 |
|
factor analysis, statistical |
1 |
|
fair price |
1 |
|
female |
1 |
|
filter trading rule |
1 |
|
financial engineering |
1 |
|
financial products |
1 |
|
firm innovativeness |
1 |
|
first-time donors |
1 |
|
fisher's method |
1 |
|
forecasting |
1 |
|
forecasting - methods |
1 |
|
fractional kelly |
1 |
|
game theory |
1 |
|
generalized confidence intervals |
1 |
|
generalized pivotal quantity |
1 |
|
geometric process |
1 |
|
geometric process model |
1 |
|
ghk method |
1 |
|
gibbs sampling |
1 |
|
graybill-deal estimator |
1 |
|
hazard rank tests |
1 |
|
historic buildings |
1 |
|
humans |
1 |
|
ica |
1 |
|
implied volatility |
1 |
|
impurity function |
1 |
|
incomplete data |
1 |
|
incomplete ranking |
1 |
|
independent component analysis |
1 |
|
judgment ranking |
1 |
|
kaplan-meier method |
1 |
|
kelly portfolio |
1 |
|
kendall distance |
1 |
|
kernel fuzzy c-means clustering |
1 |
|
kernel methods |
1 |
|
latent-scale distance-based model |
1 |
|
lda |
1 |
|
left censoring |
1 |
|
likelihood functions |
1 |
|
linear discriminant analysis |
1 |
|
location parameters |
1 |
|
long memory |
1 |
|
luce model |
1 |
|
male |
1 |
|
margin in futures market |
1 |
|
marginal likelihood |
1 |
|
market neutral |
1 |
|
market risk |
1 |
|
markov decision process |
1 |
|
markov switching model |
1 |
|
match-point scores |
1 |
|
matrix autoregressive time series |
1 |
|
matrix-logarithm transformation |
1 |
|
maximum likelihood |
1 |
|
maximum likelihood estimation |
1 |
|
maximum likelihood method |
1 |
|
maximum-likelihood estimation (mle) |
1 |
|
mcmc |
1 |
|
mixture model |
1 |
|
mixture of factor analyzers (mfa) |
1 |
|
mixtures models |
1 |
|
model selection |
1 |
|
models, statistical |
1 |
|
monotone likelihood ratio |
1 |
|
monotone trend |
1 |
|
monte carlo expectation-maximization |
1 |
|
moving averages |
1 |
|
moving window |
1 |
|
multidimensional preference analysis |
1 |
|
multiple change-points detection |
1 |
|
multivariate statistics |
1 |
|
multivariate time series |
1 |
|
neural networks (computer) |
1 |
|
non-parametric method |
1 |
|
nonparametric inference |
1 |
|
nonparametric statistics |
1 |
|
normal distribution |
1 |
|
optimality equation |
1 |
|
order-statistics model |
1 |
|
p-values |
1 |
|
parameter estimation |
1 |
|
parametric embedding |
1 |
|
pattern recognition, automated |
1 |
|
penalization |
1 |
|
permutation model |
1 |
|
personalized learning |
1 |
|
phrase parsing |
1 |
|
pivots |
1 |
|
poisson count data |
1 |
|
portfolio selection |
1 |
|
predictive approach |
1 |
|
predictive bounds |
1 |
|
predictive checks |
1 |
|
predictive value of tests |
1 |
|
preference |
1 |
|
price trend model |
1 |
|
principal component analysis |
1 |
|
principle-based ethics |
1 |
|
prior knowledge |
1 |
|
probability |
1 |
|
probability models |
1 |
|
property |
1 |
|
quantile regression |
1 |
|
r |
1 |
|
range data |
1 |
|
rank aggregation |
1 |
|
rank aggregration |
1 |
|
ranked parameters |
1 |
|
ranking and selection |
1 |
|
ranking and selection (statistics) |
1 |
|
reduced rank |
1 |
|
reml |
1 |
|
resource allocation |
1 |
|
saddle point |
1 |
|
separable |
1 |
|
sequential sampling plan |
1 |
|
shapley additive explanations |
1 |
|
shrinkage estimation |
1 |
|
simple random sample |
1 |
|
simple random sampling |
1 |
|
simultaneous control |
1 |
|
skewed-laplace distribution |
1 |
|
smooth tests |
1 |
|
spacing |
1 |
|
statistics |
1 |
|
stem education |
1 |
|
stress-strength model |
1 |
|
subset section |
1 |
|
systematic review |
1 |
|
ties |
1 |
|
time series |
1 |
|
tournament design |
1 |
|
trading rules |
1 |
|
trend movement |
1 |
|
turning points |
1 |
|
two-dimensional data |
1 |
|
unequal allocation |
1 |
|
variance |
1 |
|
variational bayesian |
1 |
|
vb |
1 |
|
virtue-based ethics |
1 |
|
visualization |
1 |
|
volatility |
1 |
|
volatility forecasts |
1 |
|
wandering vector model |
1 |
|
weighted distance |
1 |
|
wilcoxon |
1 |
|
winbugs |
1 |
