… when a potentially damaging rupture will occur although we … a synopsis of conditional
probability of event occurrence, P (… using maximum likelihood, whereas the highest recurrence …

… We then derive recurrence-time statistics of large … estimate model parameters via the maximum
likelihood estimation and … We finally present a number of conditional probability curves (…

… We use the maximum likelihood estimators taking into account … ters, such as the fault length
or the rupture dimension ([6], [36]). … (peak ground acceleration, peak ground velocity, peak …

… analogous to fault ruptures and their recurrence intervals. Here, I … (eg, annual probability of
ground motion exceedance). … measured values of the variable (in our context, the recurrence …

… on buried soil/marsh data on land, implying that T2 might have … The results with the highest
log likelihood value is adopted … Subsequently, simulate t IAT from the conditional probability …

… rupture (in other words, we cannot afford here to consider many samples of the AS ground
motions to fill the entire conditional … (eg via maximum likelihood estimation as discussed in …

… We determine the probability distributions and return periods of earthquakes for all districts
… time-dependent probability distributions for analysis. Using the annual maximum earthquake …

… p}\) is also a maximum likelihood estimator, asymptotically normal, with … parameters of
interest include different intensity measures (peak ground acceleration, peak ground velocity, peak …

… of a fault rupture as a function of magnitude [17], this study will seek to determine a probability
… ( I M ) ‾ σ ln ( IM ) | m i , r i ) where P ( I M > i m | m i , r i ) is the conditional probability of …

… hazard maps in terms of peak ground acceleration (PGA) and … characteristics (maximum
magnitudes, recurrence of high … by the earthquake or the rupture length of the earthquakes. …